U.S. patent number 9,829,870 [Application Number 15/363,526] was granted by the patent office on 2017-11-28 for distributed building control system.
This patent grant is currently assigned to ABL IP HOLDING LLC. The grantee listed for this patent is ABL IP HOLDING LLC. Invention is credited to Januk Aggarwal, Jack C. Rains, Jr., David P. Ramer, Jason Rogers.
United States Patent |
9,829,870 |
Aggarwal , et al. |
November 28, 2017 |
Distributed building control system
Abstract
An example of a building automation system utilizes intelligent
system elements, some of which are lighting devices having light
sources, and some of which are utility building control and
automation elements. Some utility building control and automation
elements include a controllable mechanism for use in control of
some aspect of the building other than lighting. Another
intelligent system element may include either a user interface
component and be configured as a building controller, or include a
detector and be configured as a sensor. Each intelligent system
element includes a network communication interface, processor,
memory and programming to configure the intelligent system element
as a lighting device, utility building control and automation
element, controller or sensor. At least one of the intelligent
lighting devices is configured as a building control and automation
system server. Several examples, however, implement the overall
control using distributed processing.
Inventors: |
Aggarwal; Januk (Tysons Corner,
VA), Rogers; Jason (Herndon, VA), Rains, Jr.; Jack C.
(Herndon, VA), Ramer; David P. (Reston, VA) |
Applicant: |
Name |
City |
State |
Country |
Type |
ABL IP HOLDING LLC |
Conyers |
GA |
US |
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Assignee: |
ABL IP HOLDING LLC (Conyers,
GA)
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Family
ID: |
51986003 |
Appl.
No.: |
15/363,526 |
Filed: |
November 29, 2016 |
Prior Publication Data
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Document
Identifier |
Publication Date |
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US 20170075325 A1 |
Mar 16, 2017 |
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Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
Issue Date |
|
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13971194 |
Aug 20, 2013 |
9612585 |
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13903428 |
Nov 22, 2016 |
9504132 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
H05B
47/105 (20200101); G05B 15/02 (20130101); H05B
47/175 (20200101); H04L 12/6418 (20130101); H04L
12/2816 (20130101); H05B 47/19 (20200101); Y02B
20/40 (20130101); G05B 2219/2642 (20130101) |
Current International
Class: |
G05B
15/02 (20060101); H05B 37/02 (20060101); H04L
12/64 (20060101); H04L 12/28 (20060101) |
References Cited
[Referenced By]
U.S. Patent Documents
Foreign Patent Documents
Other References
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Primary Examiner: Laughlin; Nathan L
Attorney, Agent or Firm: RatnerPrestia
Parent Case Text
RELATED APPLICATIONS
This application is a continuation of U.S. application Ser. No.
13/971,194, Filed Aug. 20, 2013 entitled "DISTRIBUTED BUILDING
CONTROL SYSTEM," which is a continuation-in-part of U.S.
application Ser. No. 13/903,428, Filed May 28, 2013 entitled
"DISTRIBUTED PROCESSING USING RESOURCES OF INTELLIGENT LIGHTING
ELEMENTS OF A LIGHTING SYSTEM," the disclosures of which are
entirely incorporated herein by reference.
This application also is related to U.S. application Ser. No.
13/903,330, Filed May 28, 2013 entitled "LIGHTING NETWORK WITH
AUTONOMOUS COMMISSIONING," the disclosure of which is entirely
incorporated herein by reference.
Claims
What is claimed is:
1. An intelligent system element for operation in a building
control and automation system (BCAS), the intelligent system
element comprising: a communication interface configured to enable
communication via a link of a data communication network with other
intelligent system elements of the BCAS; a processor coupled to
communicate via the communication interface and the network link; a
memory accessible to the processor; and programming in the memory
which configures the processor to implement functions, including
functions to: control operations of other intelligent system
elements of the BCAS; and when the intelligent system element has a
building control and automation processing job to perform using
resources of others of the intelligent system elements: allocate
portions of the processing job to a plurality of the other
intelligent system elements; send data and instructions to each
intelligent system element of the plurality of the other
intelligent system elements, for performing an allocated portion of
the processing job; receive from at least some of the plurality of
the other intelligent system elements results of the performance of
the allocated portions of the processing job; process the received
results to determine an overall result of the processing job; and
perform a building control and automation action based on the
overall result of the processing job.
2. The intelligent system element of claim 1, wherein: the
implemented functions further include a function to query other
intelligent system elements and receive responses from the other
intelligent system elements as to whether or not the other
intelligent system elements have processing or memory resources
available for the processing job; and the function to allocate
portions of the processing job to the plurality of the other
intelligent system elements comprises allocating the portions based
on the responses.
3. The intelligent system element of claim 1, further comprising: a
light source coupled to the processor; and programming in the
memory which configures the processor to control operations of the
intelligent system element as a lighting device of the BCAS for the
premises.
4. The intelligent system element of claim 1, further comprising: a
user interface component configured as a controller and coupled to
the processor; and programming in the memory which configures the
processor to control operations of the intelligent system element
as a controller of the BCAS for the premises.
5. The intelligent system element of claim 1, further comprising: a
sensor including a detector and coupled to the processor; and
programming in the memory which configures the processor to control
operations of the intelligent system element as a sensor of the
BCAS for the premises.
6. The intelligent system element of claim 1, further comprising: a
controllable mechanism and associated drive electronics coupled to
the processor; and programming in the memory which configures the
processor to control operations of the intelligent system element
as a utility building control and automation element of the BCAS
for the premises.
7. The intelligent system element of claim 6, wherein the utility
building control and automation system element is one of the group
consisting essentially of: a controllable heating, ventilation and
air conditioning (HVAC) element; a fire or safety alarm element; a
security system element; an access control element; or a commercial
system element.
8. The intelligent system element of claim 1, further comprising
programming in the memory which configures the processor to
implement further functions, including functions to: respond to an
inquiry received from another intelligent system element having a
building control and automation processing job to perform using
resources of others of the intelligent system elements by sending,
via the network, a response with information identifying processing
resources of the processor and/or available resources of the
memory; receive, via the network, data and instructions for
performing a portion of the building control and automation
processing job from the other intelligent system element; process
the received data in accordance with the instructions using
resources of the processor and/or the memory; and send a result of
the processing via the network to the other intelligent system
element.
9. An intelligent system element for operation in a building
control and automation system (BCAS), the intelligent system
element comprising: a communication interface configured to enable
communication via a link of a data communication network with other
intelligent system elements of the BCAS; a processor coupled to
communicate via the communication interface and the network link; a
memory accessible to the processor; and programming in the memory
which configures the processor to implement functions, including
functions to: receive, via the network from another intelligent
system element of the other intelligent system elements, data and
instructions for performing an allocated portion of a building
control and automation processing job allocated from among a number
of portions of the building control and automation processing job;
process the received data in accordance with the instructions using
resources of the processor and/or the memory; and send a result of
the processing of the allocated portion of the building control and
automation processing job via the network to the other intelligent
system element.
10. The intelligent system element of claim 9, wherein the
implemented functions further include a function to respond to an
inquiry received from another intelligent system element having a
building control and automation job to perform using resources of
others of the intelligent system elements by sending, via the
network, a response with information identifying processing
resources of the processor and/or available resources of the
memory.
11. The intelligent system element of claim 9, further comprising:
a light source coupled to the processor; and programming in the
memory which configures the processor to control operations of the
intelligent system element as a lighting device of the BCAS for the
premises.
12. The intelligent system element of claim 9, further comprising:
a user interface component configured as a controller and coupled
to the processor; and programming in the memory which configures
the processor to control operations of the intelligent system
element as a controller of the BCAS for the premises.
13. The intelligent system element of claim 9, further comprising:
a sensor including a detector and coupled to the processor; and
programming in the memory which configures the processor to control
operations of the intelligent system element as a sensor of the
BCAS for the premises.
14. The intelligent system element of claim 9, further comprising:
a controllable mechanism and associated drive electronics coupled
to the processor; and programming in the memory which configures
the processor to control operations of the intelligent system
element as a utility building control and automation system element
of the BCAS for the premises.
15. The intelligent system element of claim 14, wherein the utility
building control and automation system element is one of the group
consisting essentially of: a controllable heating, ventilation and
air conditioning (HVAC) element; a fire or safety alarm element; a
security system element; an access control element; or a commercial
system element.
16. The intelligent system element of claim 9, further comprising
programming in the memory which configures the processor to
implement further functions, including functions to: control
operations of other intelligent system elements of the BCAS; and
when the intelligent system element has a building control and
automation processing job to perform using resources of others of
the intelligent system elements: query other intelligent system
elements and receive responses from the other intelligent system
elements as to whether or not the other intelligent system elements
have processing or memory resources available for the processing
job; based on the responses, allocate portions of the processing
job to a plurality of the other intelligent system elements; send
data and instructions to each intelligent system element of the
plurality of the other intelligent system elements, for performing
an allocated portion of the processing job; receive from at least
some of the plurality of the other intelligent system elements
results of the performance of the allocated portions of the
processing job; process the received results to determine an
overall result of the processing job; and perform a building
control and automation action based on the overall result of the
processing job.
Description
TECHNICAL FIELD
The present subject matter relates to techniques to implement a
building control and automation system on a distributed processing
basis utilizing memory and/or processing resources of intelligent
elements of a building control and automation system and data
communications amongst the system elements.
BACKGROUND
Building control and automation systems (BCAS) are growing
increasingly common in modern building construction. These systems
traditionally automated heating, ventilation and air conditioning
(HVAC) systems along with other mechanical, electrical and plumbing
systems. Many modern buildings, from large-scale office buildings
to homes, now incorporate aspects of BCAS into their building
control scheme; although in individual residential applications,
they may be referred to in other ways, such as home automation
systems.
The traditional BCAS is a system which operates out of a central
server in the basement or other utility space of the building. This
server is in turn serviced by a series of controllers and buses,
which manage the data running between the server and the systems
throughout the building that are being controlled in an automated
fashion. The server in such a configuration is also connected to
user terminals and sensors, which regulate the behavior of the
overall system by providing input. Initially, such terminals were
at the same premises or at most located at a premises of a
management or monitoring enterprise; although increasingly, the
user terminal may be any device anywhere that has data network
access and appropriate programming for user interaction with the
BCAS automation server.
As the technology has improved, BCAS systems have come to
incorporate additional elements to further control and automate the
functionality of buildings. These systems have come to additionally
include security systems, building access systems, fire or safety
alarm systems, commercial systems, and many other aspects of
building control. The devices that populate such systems have
traditionally been dumb and while they have been connected to user
input devices, sensors or perhaps a central server, they generally
lacked further capability to communicate and automate.
Additionally, as technology has improved, the building control
elements that can be incorporated into a BCAS have become more
intelligent. Of particular note is the improvement of lighting
devices. Traditional lighting devices have tended to be relatively
dumb, in that they can be turned ON and OFF, and in some cases may
be dimmed, usually in response to user activation of a relatively
simple input device. Lighting devices have also been controlled in
response to ambient light detectors that turn on a light only when
ambient light is at or below a threshold (e.g. as the sun goes
down) and in response to occupancy sensors (e.g. to turn on light
when a room is occupied and to turn the light off when the room is
no longer occupied for some period). Often traditional lighting
devices are controlled individually or as relatively small groups
at separate locations. Traditional BCAS elements have tended to be
similarly dumb and narrow in the sources of inputs they may accept,
configurations they may adapt to, and the scope of control users
and sensors may have over them.
With the advent of modern electronics has come advancement,
including advances in networking and control capabilities of
lighting devices and other utility building control and automation
system elements. As increased processing capacity finds its way
into building control and automation system elements, it becomes
relatively easy to incorporate associated communications
capabilities, e.g. to allow building control and automation system
elements to communicate with other system control elements and/or
with each other. In this way, advanced electronics in building
control and automation system elements as well as the associated
control elements have facilitated more sophisticated building
control algorithms as well as increased networking of building
control and automation system elements.
Sensing and network communications have included lighting
functions/applications of the lighting devices. For example,
sensors may be provided in a lighting device to detect parameters
relevant to control operation of the lighting device, and the
processor in the device controls the source(s) of the device in
response to the sensor inputs. Alternatively or in addition, a
communication interface in each of a number of networked lighting
devices may allow communication about the status of each lighting
device to a system control center. A programmed computer or a
person at the control center then may be able to send commands to
individual lighting devices or to groups of lighting devices, for
example, based on a decision responsive to one or more conditions
sensed by some or all of the lighting devices. In a similar
fashion, sensing and interface devices have been provided for HVAC
and other elements or systems that may be incorporated into or
controlled as part of a BCAS system.
In lighting, these advances in devices and networked systems have
mainly addressed aspects of the lighting provided by the lighting
devices. For example, lighting devices may be adjusted, turned ON
and/or turned OFF in response to user input or based on monitored
conditions, either by processor logic within the device(s) or
commands from a local controller (e.g. configured as a control
panel on a wall) or from a central control. From the perspective of
a BCAS type of arrangement, the networking may facilitate BCAS
server communication with the lighting system components. The BCAS
server, however, has implemented the higher level logic related to
overall building control for lighting and other building
systems.
The increasingly sophisticated electronics associated with lighting
and other utility building control and automation elements often
now include a central processing device as well as memory for
program and data storage within each of many individual devices
that are in or controlled by the system. Where the lighting devices
and utility building control and automation elements are networked,
each device also includes some form of communication interface, to
enable the desired communication with other lighting devices,
utility building control and automation elements, in-room lighting
controllers and/or with networked control computers.
The processing, memory and communication elements of the system
elements involve costs, when purchasing and deploying lighting
devices or the like. Building an installed base of such equipment,
with substantial numbers of individual devices each having
sophisticated electronics, incurs a financial investment.
Considering lighting devices by way of example, in many cases, the
electronics are a substantial cost for each lighting device, and
that cost may be multiplied by a large number of such devices in an
extensive networked implementation owned by or operated for a large
enterprise. Similar processing and memory resources may be included
in other utility building control and automation system elements,
such as controllers in the various areas of the premises within
which the system is installed. Despite the infrastructure cost, the
memory and processing resources may be idle for substantial periods
of time, e.g. in the context of lighting, when lighting devices are
OFF for extended periods or even during operations when individual
lighting devices and/or lighting controllers are not actively
communicating or not using full processing or memory resources (for
example during intervals between substantial device setting
changes, which may require execution of a processing intensive
algorithm). In addition to the infrastructure costs for such
resources in the lighting devices and/or controllers, such a system
may include additional computer resources for implementation of the
building control and automation system server.
Hence, there is room for improvement in the usage of the resources
in various elements of a networked intelligent building control and
automation system, e.g. to increase the usage of costly processing
and memory resources in networked elements and/or to reduce or
eliminate the need for additional computer hardware to host a
centralized control functionality.
BRIEF DESCRIPTION OF THE DRAWINGS
The drawing figures depict one or more implementations in accord
with the present concepts, by way of example only, not by way of
limitations. In the Figures, like reference numerals refer to the
same or similar elements.
FIG. 1A is a functional block diagram of a simple example of a
building control and automation system having intelligent lighting
devices and other intelligent utility building control and
automation system elements, where the various intelligent system
elements are linked or networked for data communications.
FIG. 1B depicts a somewhat different set and arrangement of
examples of elements of the building control and automation system
of FIG. 1, which shows some more detailed examples of the other
intelligent utility building control and automation system
elements.
FIG. 1C is a functional block diagram of an intelligent utility
building control and automation element.
FIG. 2 is a flow chart of a simple example of a procedure for
distributed processing, which may be implemented in a building
control and automation system like that of FIG. 1A or FIG. 1B.
FIG. 3A is a flow chart of another example of a procedure for
distributed processing involving BCAS-specific functionality in a
building control and automation system like that of FIG. 1A or FIG.
1B; and FIG. 3B is a layout diagram of a simple building example
with an overlay of block illustrations for some of the system
elements, as referred to in the discussion of the flow chart of
FIG. 3A.
FIG. 4 is an alternative diagram of selected aspects of the system
of FIG. 1A or FIG. 1B, representing an example of multiple-instance
server type of distributed processing.
FIG. 5 is a stack diagram useful in explaining exemplary program
configuration.
FIG. 6 is a simplified functional block diagram of a computer that
may be configured as a host or server, for example, to function as
the external server in the system of FIG. 1A or FIG. 1B.
FIG. 7 is a simplified functional block diagram of a personal
computer or other user terminal device, which may be used as the
remote access terminal, in the system of FIG. 1A or FIG. 1B.
FIG. 8 is a simplified functional block diagram of a mobile device,
as an alternate example of a user terminal device, for possible
communication in or with the system of FIG. 1A or FIG. 1B.
DETAILED DESCRIPTION
In the following detailed description, numerous specific details
are set forth by way of examples in order to provide a thorough
understanding of the relevant teachings. However, it should be
apparent to those skilled in the art that the present teachings may
be practiced without such details. In other instances, well known
methods, procedures, components, and/or circuitry have been
described at a relatively high-level, without detail, in order to
avoid unnecessarily obscuring aspects of the present teachings.
The various examples disclosed herein relate to building control
and automation systems utilizing intelligent elements, some of
which are lighting devices. Other system elements for non-lighting
related control and/or automation functions are referred to as
intelligent utility building control and automation elements. Each
intelligent lighting device includes a light source. Each
intelligent utility building control and automation element
includes a controllable mechanism and associated drive electronics.
Some control and automation elements are input devices, for
example, for sensing conditions in the building or receiving user
inputs; whereas other control and automation elements implement
automatic control of some function in the building.
Several of the examples described in detail implement processing in
relation to overall system functions on a distributed processing
basis. Distributed processing, for example, may enable use of
available processor and/or memory resources of a number of
intelligent system elements to process a particular job. Another
distributed processing approach might entail programming to
configure two or more of the intelligent system elements to
implement multiple instances of a server functionality with respect
to client functionalities implemented on intelligent system
elements. Reference now is made in detail to the examples
illustrated in the accompanying drawings and discussed below.
FIG. 1A is a high-level block diagram of a networked building
control and automation system 10, many elements of which are
installed at a premises 12. The premises 12 may be any location or
locations serviced for building control by a networked intelligent
building control and automation system of the type described here.
Most of the examples discussed below focus on building
installations, for convenience, although the system may be readily
adapted to outdoor installations. Hence, the exemplary system 10
provides lighting and other building control services in a number
of service areas A to N in or associated with a building,
represented by room A and room or other service area B, and
generally by other room C and service area N. Examples of other
types of service areas include a corridor a building and an outdoor
area associated with a building. Further examples of indoor service
areas include storage areas, stairwells, etc., whereas further
examples of outdoor service areas include parking, path, roadway,
area, etc.
The system elements for operation in a building control and
automation system, in a system like system 10 of FIG. 1A. For
lighting, the system 10 may include any number of lighting devices
11A, such as fixtures and lamps, as well as lighting controllers,
such as switches dimmers and smart control panels. For other
functions that are automated at the premises, the system also may
include any number of utility building control and automation
system elements, such as HVAC, security systems, building access
systems, fire or safety alarm systems, access control or commercial
systems, as well as associated user input devices and/or sensors.
FIG. 1B depicts the composition and roles of such utility building
control and automation system elements in such a room in greater
detail. At least a substantial number of the lighting devices and
other utility building control and automation system elements are
implemented as intelligent system elements, which each include a
processor and a memory. The intelligent system elements also
incorporate network communication capabilities.
At least one of the intelligent system elements either includes a
user interface component and is configured as a building
controller, or includes a detector and is configured as a sensor.
The exemplary system 10 includes intelligent elements of both of
these types. The building controller(s) and/or sensors may be for
lighting related functions or for other utility building control
and automation system functions or may be for some combination of
lighting and other utility functions. The building controllers may
be implemented by intelligent user interface devices with
processor, memory and communication components, although
intelligent user interface devices on the system 10 may serve other
purposes. The exemplary building control and automation system
elements may also include one or more sensors used to control
building functions, such as occupancy sensors, ambient light
sensors and light or temperature feedback sensors, fire or smoke or
gas detection, break-in detection, door or window opening-closing,
room or area temperature, refrigerator/freezer temperature(s), etc.
The sensors may be implemented in intelligent standalone system
elements, or the sensors may be incorporated in intelligent system
elements, e.g. as an enhanced capability of a lighting device.
As shown (and discussed in more detail later), many elements of the
system 10 include processors and memories and such intelligent
system elements are coupled or linked into a network for data
communication. A system like that shown in FIGS. 1A and 1B may
incorporate or at least provide communication capabilities or
services for use by other devices within the premises 12.
A building control and automation system such as 10, which utilizes
many intelligent elements, has considerable inherent processing and
memory capacity. Many tasks can be performed by each element
utilizing the element's own internal processor and memory. For
example, a lighting device will be able to receive and
appropriately process a lighting command, e.g. to set a light level
and/or to set an associated color characteristic of the device's
light source, to adjust its operational light output as commanded,
without the need for resources of other intelligent elements of the
system. A user interface (UI) device configured as a building
controller will be able to send commands in response to user inputs
to any devices it controls; and a sensor will be able to report its
sensed condition to any system elements configured to receive and
utilize such information. However, the presence of the extensive
processing and memory resources of the system 10 offers
opportunities for implementing other tasks by sharing the work to
implement such tasks across multiple intelligent elements of the
system 10 based at least in part on communication via the network
between the intelligent system elements. Stated another way, the
system 10 is also configured to allow the intelligent elements to
perform at least some processing tasks on a distributed processing
basis, coordinated via network communication, such that available
processing and/or memory resources of multiple elements support
completion of a shared task or job. Hence, in our examples of the
system 10, at least some lighting devices and possibly other
elements of the exemplary system each utilize programming which
configures the processor to control a building control and
automation related operation of the intelligent system element and
which configures the processor to implement distributed processing
functions with regard to that control operation.
The shared task or job may relate to system operations, including
building control and automation functions. For example, centralized
control functions that might otherwise be implemented in host
computer hardware (e.g. configured as a control server) may be
implemented by the intelligent system elements, user interface
devices and/or sensors of the exemplary system 10 on a distributed
processing basis. Other distributed processing tasks may be more
ancillary in nature, e.g. processing an audio input from one of the
intelligent system elements to recognize speech content and
identify an appropriate responsive action or to perform a
statistical analysis of sensor input data from all sensors of a
particular type on the premises 12 for an identified purpose. Still
further types of distributed processing tasks may be arbitrary and
relatively unrelated to regular operations of the system 10, for
example, processing a task received from an outside party needing
substantial processing or memory resources for that party's own
reason(s). Examples of actions that may result from or be outcomes
of distributed processing may involve establishing control settings
for one or more lighting devices and/or for one or more of the
utility building control and automation system elements, more
general activities in response to audible or visible user input
(e.g. to access remote data and provide an output, to set a light
parameter, to allow or disallow building access, etc.), or to
provide processed results from complex data (e.g. recognize a
particular face, voice or event in an audio input or image or video
file, or to process data from any number of sensors to obtain a
composite result) for system use or to supply to an outside
entity.
In our illustrated example, each room or other type of service area
controlled by the system 10 includes a number of intelligent
lighting devices and may include one or more utility building
control and automation system elements. Some areas may also include
system elements such as one or more user interface devices each
configured as a building controller or the like and/or one or more
sensors, for lighting functions and/or for other utility control
functions.
As shown, the service area represented by room A in the example
includes an appropriate number of first lighting devices 11A, for
example, to provide a desired level of lighting for the intended
use of the particular space in room A. Room A also includes one or
more first utility building control and automation system elements
71A, which may, for instance, regulate the temperature in room A or
control access to room A. The equipment in room A also includes a
user interface (UI) device, which in this example, serves as a
first building controller 13A. In a similar fashion, the equipment
in room or other service area B in the example includes an
appropriate number of second lighting devices 11B, for example, to
provide a desired level of lighting for the intended use of the
particular space in area B. Room B also includes one or more second
utility building control and automation system elements 71B, which
may, for instance, regulate the temperature in room B or control a
refrigeration unit in room B. The equipment in service area B also
includes a user interface (UI) device, which in this example,
serves as a second building controller 13B. Examples of UI devices
that may be used are discussed in more detail later.
Although some service areas may not include a sensor, the equipment
in each of the service areas A and B includes one or more sensors,
although the sensors in these two examples are implemented in
somewhat different ways. In room A, the sensor 15A is an element of
one or more of the lighting devices 11A. In room B, the sensor 15B
is implemented as a standalone system component. Such sensors may
detect a condition that is relevant to lighting operations, such as
occupancy, ambient light level or color characteristics of light in
an area or level or color of light emitted from one or more of the
lighting devices 11A or 11B serving the particular area. Other
sensors may detect other conditions that are relevant to other
functions of the system 10 or for more general communication about
conditions in an area for still further purposes. Examples of other
conditions that sensors may detect include temperature or humidity
for HVAC control, vibration for reporting of earthquakes or similar
events, fire, smoke or gas detection, sound for user input or for
detection of breakage or the like, as well as window or door state
for security or access control. Other examples of conditions that
may be detected by appropriate sensors include power monitoring, an
object/occupant identification, etc. Different sensors for
different types or sets of conditions may be relevant in different
system installations, e.g. some of these examples might be more
relevant in warehouse type system applications than in retail or
residential settings. For purposes of further discussion of FIG.
1A, we will focus on implementations that include sensors for
purposes related to building control and automation operations of
the system 10, such as lighting and HVAC.
The lighting devices 11A, the building controller 13A, the utility
building control and automation system elements 71A and the sensor
15A (if provided in one of the intelligent devices 11A) are located
for building control and automation service of the first service
area, that is to say, for building control and automation within
room A in the example. Similarly, the lighting devices 11B, the
building controller 13B, the utility building control and
automation system elements 71B and the sensor 15B (if provided) are
located for building control and automation service of the second
service area, in this case, for building control and automation in
room or other type of area B.
The equipment in room A, in this example, the lighting devices 11A,
the building controller 13A, the utility building control and
automation system elements 71A and the sensor 15A in one of the
lighting devices 11A, are coupled together for network
communication with each other through data communication media
generally represented by the cloud in the diagram to form a first
physical network 17A. Similarly, the equipment in second area B, in
this example, the lighting devices 11B, the building controller
13B, the utility building control and automation system elements
71B and the sensor 15B, are coupled together for network
communication with each other through data communication media
generally represented by the cloud in the diagram to form a second
physical network 17B.
Many installations will include equipment for providing lighting
and building control and automation services in a similar manner in
other rooms and/or other types of services areas within or on a
particular premises 12, such as in a building or indoors and
outdoors about a campus or the like. Although not shown, in similar
detail, such other service areas are represented generally by room
C to area N in the example illustrated in FIG. 1A.
The example of system 10 utilizes intelligent lighting devices.
Hence, each lighting device has a light source, a processor, a
memory and a communication interface. By way of an example, one of
the lighting devices 11A is shown in expanded block diagram form,
as represented by the dashed line box at 11A'. As shown by that
expanded example, each device 11A in room A includes a light source
19A, a processor 21A, a memory 23A and a communication interface
25A. In service area A, at least one of the lighting devices 11A'
includes the sensor 15A, as well. The drawing also shows one of the
lighting devices 11B' in expanded block diagram form. As shown at
11B', each lighting device 11B includes a light source 19B, a
processor 21B, a memory 23B and a communication interface 25B.
Although the communication interfaces 25A, 25B are shown
communicating via lines, such as wired links or optical fibers;
some or all of the interfaces 25A, 25B may use wireless
communications media such as optical or radio frequency wireless
communication. Also, although the examples in FIG. 1A show each of
the lighting devices having one communication interface, some or
all of the lighting devices 11 may have two or more communications
interfaces to enable data communications over different media with
the network(s) and/or with other devices in the vicinity.
The sensors also have associated intelligence and communication
capabilities. In the example of room A, the intelligence and
communication capabilities associated with the sensor 15A are those
of the host lighting device 11A'. In the example of room or other
service area B, the sensor 15B is a standalone device incorporating
its own associated intelligence and communication capabilities, as
will be discussed in more detail, later.
The UI devices serving as the building controllers in this example
also are implemented as smart/intelligent devices with processing
and communication capabilities. Hence, each building controller
13A, 13B includes a processor, a memory and a communication
interface, as well as one or more input and/or output elements for
physical user interaction. As shown by way of example, the UI
device serving as building controller 13A in room A includes a
processor 31A, a memory 33A and a communication interface 35A. The
UI device serving as building controller 13A also includes one or
more user input and/or output elements represented generally by
user I/O element 37A in the drawing. The element 37A, for example,
may include a toggle switch, a rotary controller, one or more
sliders, a keypad and/or a touchscreen display.
A touchscreen display, for example, may support touch and touch
gesture input as well as visual display output. Other examples of
the UI input may include a video input and associated processing
for gestural control detection, a microphone, an occupancy/motion
sensor, proximity sensor, etc. Outputs may be visual, audible,
tactile, etc. For example, a microphone and/or speaker may be used
to support audible input and/or output, whereas a camera in
combination with projector or display may be used to support visual
input and/or output. As shown by way of example, the UI device
serving as building controller 13B in service area B includes a
processor 31B, a memory 33B and a communication interface 35B. The
UI device serving as building controller 13B also includes one or
more user input and/or output elements represented generally by
user I/O element 37B in the drawing. The element 37B, for example,
may be similar to the I/O element 37A in UI device 13A, examples of
which were discussed earlier. Of course, other elements may be used
to receive input from and/or provide output to a user, in any of
the UI devices/controllers 13A, 13B.
Like the lighting devices, the communication interface systems of
the UI devices may utilize one or more interfaces to support data
communication of the UI devices over the available/appropriate
media at the premises 12. For example, although the communication
interfaces 35A, 35B are shown communicating via lines, such as
wired links or optical fibers; some or all of the interfaces 35A,
35B may use wireless communications media such as optical or radio
frequency wireless communication. Also, although the examples in
FIG. 1 show each of the UI devices having one communication
interface, some or all of the UI devices 13 may have two or more
communications interfaces to enable data communications over
different media with the network(s) and/or with other devices in
the vicinity.
As outlined earlier, in the example of FIG. 1A, any sensors
included in the system 10 also have or are associated with
intelligence and communication capabilities. The sensor 15A is
integrated into a lighting device; and the processor, memory and
communication interface of that device provide the intelligence and
communication capabilities associated with that sensor 15A. The
sensor 15B, however, is a standalone device and includes its own
individual intelligence and communication capabilities.
The sensor 15B includes a physical condition detector (D) 41B,
which is the actual device that is responsive to the particular
condition to be sensed. The detector 41B may receive a drive
signal; and in response to the sensed condition, the detector 41B
produces a signal having a characteristic (e.g. voltage magnitude)
that is directly related to a characteristic level of the sensed
condition. The sensor 15B also includes a detector interface
circuit (Int.) 43B. The circuit 43B provides any drive signal that
may be needed by the particular device type of physical condition
detector 41B. The detector interface circuit 43B also processes the
output signal from the detector 41B to produce a corresponding
output, in a standardized data format, for use by the associated
intelligence. The integrated sensor 15A in lighting device 11A may
be implemented by a detector and interface circuit analogous to the
physical condition detector 41B and the detector interface circuit
43B.
The standalone implementation of a sensor 15B also includes a
processor 45B and an associated memory 47B. The sensor 15B also
includes a communication interlace 49B, typically similar to or
complimentary with the interfaces 25B and 35B used by other devices
11B or 13B in the particular service area B. Like the lighting
devices and/or UI devices, the communication interface systems of
any standalone sensors may utilize one or more interfaces to
support data communication of the standalone sensor devices over
the available/appropriate media at the premises 12.
As outlined above, there may be multiple communication interfaces
for data communication over multiple media in any one system
element, and a particular premises 12 may use different data
communication media for different networking purposes, for example
premises wide network over Ethernet (wired or fiber) or DMX and
local communication (e.g. in one or more of the service areas) via
radio frequency wireless such as WiFi, Bluetooth or Zigbee or via
optical wireless.
In the examples of FIG. 1A, the lighting devices, UI devices and
stand alone sensors are shown as having one processor, for
convenience. In many instances, these devices may have multiple
processors. For example, a particular device configuration may
utilize a multi-core processor architecture. Also, some of the
other components, such as the communications interfaces, may
themselves include processors.
Some of the intelligent system elements, e.g. lighting devices,
utility building control and automation elements, UI devices or
sensors, may have or be enhanced with audio or video input or
output equipment. A sensor, for example, may include a camera
and/or a microphone as the detector(s). A UI device may include a
display for output and may include a camera for user input, alone
or in combination with other user input elements. For example, a UI
device arrangement might utilize a touchscreen alone or in
combination with a camera. Alternatively, a UI device may utilize a
microphone for audio input alone or in combination with a speaker
for audio output to the user. Audio and/or video sensing as well as
audio and/or video output capabilities also may be incorporated
into enhanced intelligent system elements. Such an element, for
example, might have or connect to a speaker and a projector to
provide audio-visual information output. A microphone and/or camera
in an enhanced intelligent system element might provide area
monitoring and/or additional form(s) of user input to the system
for lighting or other purposes.
Although not shown, each of the system elements that uses power to
operate as described will include a power supply circuit and will
connect to or possibly contain a power source. The lighting devices
11A and 11B and the utility building control and automation system
elements 71A and 71B may draw power from an AC grid or from a DC
grid. The lighting devices 11A and 11B and the utility building
control and automation system elements 71A and 71B, for example,
may draw power from alternating current (AC) mains in the building
or other type of premises where the system 10 may be installed. In
an AC grid type example, the power supply circuit of a particular
lighting device 11A or 11B or utility building control and
automation system elements 71A or 71B will include a driver circuit
to process power drawn from the AC mains in any manner as may be
appropriate to drive the particular type of light source or utility
building control and automation element incorporated in the
particular element. The source driver may be a simple switch
controlled by the processor, for example, if the source is an
incandescent bulb or the like that can be driven directly from the
AC current. As another example, the drive circuit may convert AC
power to one or more appropriate DC voltage and/or current levels
to provide power to DC driven light source(s) such as light
emitting diodes (LEDs). The power supply would also process AC
power from the mains to provide voltage and/or current levels to
power the elements (e.g. processor, memory and interface) serving
as the device intelligence and for the communication interface.
In the example, the power supply circuit for each lighting device
receives electricity from AC mains, however, one or more of the
intelligent utility building control and automation system elements
for each service area may be driven by a battery or other power
source for a particular application. For example, one or more
lighting devices in each room and one or more lighting devices in a
corridor each may have or connect to a back-up battery or other
back-up power source to supply power for some period of time in the
event of an interruption of power from the AC mains. Other system
elements in each service area, such as building controllers or
other user interface devices and/or any standalone sensors would
likewise include appropriate power supply circuits, which may rely
on AC or DC power from the mains, battery power and/or ambient
power harvesting, etc., as needed to operate the components of each
respective system element. Examples of ambient power harvesting
include vibration responsive power generation, photovoltaics,
mechanical work (e.g. EnOcean), etc.
As noted, system elements within a room or other service area are
coupled via suitable links for network data communications, as
represented generally by the network clouds 17A and 17B, and the
various communication interfaces are compatible with those links.
The system 10 also includes communication links coupling the first
and second physical networks into a wider area network. The local
service area networks 17A, 17B may be relatively distinct from each
other and distinct from but coupled to a wider area network as
shown generally at 51, or the networks may be relatively unified.
Various network media and protocols may be used for the data
communications. The networks 17A and 17B allow elements within
respective service areas A and B to communicate with each other,
and the links or couplings 49A, 49B of those networks to the wider
area network 51 allow the elements within each of the service areas
to communicate with elements in other service areas and/or to
communicate with other devices generally represented by way of
example by the server/host computer 33 and the user terminal device
55.
The host computer or server 53 can be any suitable
network-connected computer, tablet, mobile device or the like
programmed to implement the desired functionalities. Such a device
may have any appropriate data communication interface to link to
the wider area network 51. If provided, a host or server computer
at the premises may utilize the same networking media 17A or 17B
and/or 51 utilized by the on-premises system elements.
The external host or server 53 may provide various functions in
support of system operations and/or utilizing data from system
elements. For example, on-site processing capability may be
enhanced or redundancy may be built in for the system, by
utilization of off-site computing resources. The user terminal
equipment such as that shown at 55 may be implemented with any
suitable processing device that can communicate and offer a
suitable user interface. The terminal 55, for example, is shown as
a desktop computer with a wired link into the wide area network 51.
However, other terminal types, such as laptop computers, notebook
computers, netbook computers, tablet computers and smartphones may
serve as the user terminal computers. Also, although shown as
communicating via a wired link from the wide area network 51, such
a device may also or alternatively use wireless or optical media;
and such a device may be operated at the premises 12 and utilize
the same networking media 17A or 17B utilized by the on-premises
system elements.
The wide area network 51 may take the form of a local area network
(LAN) and/or a wide area network (WAN). Hence, the premises may
include a LAN or other on-premises network, or the communications
may go directly to a particular WAN. Alternatively, there may be a
LAN or other network formed within the premises, but without a
coupling or connection to a yet wider area network outside the
premises, for example, to restrict access and therefore increase
security of the building network and the like within the premises.
A LAN/WAN combination, for example, may provide communications
capabilities inside and outside the premises in a manner generally
represented by the network 51 in the example of FIG. 1A. Depending
on the network media and protocol(s) used, the LAN may include a
frame switch, a packet router or the like providing LAN
interconnectivity. Although not shown, a gateway or the like may
also be deployed on the LAN to provide various functions in support
of interconnectivity of the LAN to/from the WAN.
The LAN functionality, however, may essentially be embedded in the
room or area elements, except for the interconnecting media. For
example, any of the system elements in each room or other service
area may provide connectivity and switching/routing functions to
interconnect the system elements via the applicable media to form a
LAN on the premises 12. Also, one of the elements in a room or area
may provide the interface to any external WAN. Hence, although
shown separately for convenience, the elements that form the LAN
may be integral with the lighting devices, etc. of the building
control and automation system in the rooms or other types of areas
serviced by the illustrated system. Alternatively, all intelligent
system elements may connect directly to the WAN. If the elements
all connect through the WAN to a "cloud" service, the communication
between elements could occur via exchange through the cloud
server.
The WAN communication capability, particularly if the WAN is a
relatively public network such as the Internet, may allow various
parties to access the building control and automation network and
the system elements that communicate via the network. For example,
the enterprise or other entity that operates the premises may
access the system remotely. Also, a provider of some or all of the
building control and automation system equipment and network may
access the element or elements of the system that they provide,
e.g. for monitoring, maintenance or other system service.
The LAN as discussed here need not be a LAN of the type typically
used today for computer or mobile device communications within a
particular premises, although the building control and automation
system may use or connect to such a network. For purposes of the
present discussion, the LAN is a premises network for data
communications among the elements discussed herein as part of the
building control and automation system and/or using the associated
networking capability of that system for communications within the
premises.
Each element communicating via the premises networks that form part
of the building control and automation system 10 have one or more
addresses or identifiers, to facilitate communications via the
particular media used for the networking and/or to identify each
device to other devices on the system or outside the system with
which each device may communicate. For example, if Ethernet is
used, each device may have a media access control (MAC) address
assigned to the Ethernet interface within the respective device.
Each device may also have an Internet Protocol (IP) address
assigned thereto. Depending on the interface of the LAN to the
outside world, each device may have an internally assigned IP
address, which a firewall or network address translation (NAT)
device translates as appropriate when the device communicates via
the WAN. If a device communicates with the WAN more directly, it
may receive an IP address that is useable on the WAN, although if
the address space is still that of IPv4, such an address would
likely be assigned on a dynamic basis only for as long as the
particular device in the premises may need the address. Each device
will also typically have some form of electronic serial number for
identification purposes, although there are a variety of different
types of such identifiers that may be used for some or all of the
devices that communicate via the illustrated system and its network
media. Another approach might utilize cellular network type
addressing and identification, in which case, each device might
have an assigned cellular telephone number and an electronic device
identifier such as an International Mobile Subscriber Identity
(IMSI) or the like.
Although not shown, there may be an additional layer of networking
and/or control, between the LAN and the WAN. For example, an
enterprise having a wide geographical operation at multiple
locations may have LANs at each building or campus and an
enterprise-wide intranet interconnecting those locations. If
desired (and security is not an issue), the enterprise-wide
intranet could provide the access/connectivity to the Internet. For
enterprise monitoring and control, the enterprise-wide intranet
would facilitate communications for other servers and/or user
terminal devices of enterprise personnel to communicate with the
equipment at each location that is on the respective building
control and automation network LAN. For various reasons, the
communications capabilities provided at the premises 12 may also
support communications of the building control and automation
system elements 71A, 71B with user terminal devices and/or
computers within the premises 12. The user terminal devices and/or
computers within the premises 12 may use communications interfaces
and communications protocols of any type(s) compatible with the
on-premises networking technology of the system 10. Such
communication with a user terminal, for example, may allow a person
in one part of the premises 12 to communicate with a system element
71A, 71B in another area of the premises 12, to obtain data
therefrom and/or to control system operations in the other
area.
For some building control and automation system functions discussed
more, later, it may be useful to include one or more central
overseer (CO) functionalities, in or logically associated with the
premises 10. Such a CO functionality provides centralized
management of relevant system functions, for example, to assist in
set-up of various logical relationships during provisioning and/or
configuration of newly installed or repaired system elements in the
various service area(s) of the premises 12. Stated another way,
such a CO type functionality collects and/or distributes element
configuration data during intelligent system element commissioning
operations. For example, one CO may be set-up as a floor-wide CO,
another CO may be set-up as a building-wide CO, etc. Another
example, one type of CO (deployed as one or more instances) may
serve as a "sensors" overseer that has information about sensors on
the system. Likewise, the system could have overseers for
"luminaires," "security devices," "control interfaces," "access
control," "third party devices," etc. Some installations may also
include CO of COs to help with higher level groupings amongst
various COs.
A CO and/or central controller may also assist in determining
resource availability for distributed processing. Rather than query
the other element directly, the CO or other central controller
might have additional information regarding which devices
should/can be accessed (e.g. load
balancing/prioritization/management, management of policies and/or
software licenses, etc.); and the element having the job to
distribute could then query the CO or other central controller to
obtain information about elements and/or resource availability of
other system elements for use in distributing tasks to the other
elements.
At least some functions of the system 10 may rely on a central
controller service, which essentially provides central building
control and automation control function of the system. Such a
central building control and automation control function of the
system, for example, may to some degree control the lights on a
floor or the like, for example, under certain conditions (e.g. to
turn all lighting except emergency lighting off after hours or to
turn on lighting in a manner to lead people to exits in the event
of a fire) or to monitor and process all data from sensors of a
particular type. Central controller functionalities could be
separately implemented, but in the examples are combined with the
data management and commissioning assistance functions in one or
more COs 57. Another example of an overall processing function of
the system is a centralized communication related function, such as
a gateway, firewall, network address translation (NAT) function, or
the like, e.g. to support the communication with an external wide
area data communication network. Although separate hardware could
be included for one or more of these centralized overall processing
functions of the system 10, several of the examples discussed more
fully below implement such functions on a distributed processing
basis utilizing memory and/or processing resources of the various
intelligent elements of the system 10.
The external elements, represented generally by the server/host
computer 53 and the user terminal device 55, that may communicate
with the system elements at the premises 12 may be used by various
entities and/or for various purposes in relation to the building
control and automation system 10. For example, a terminal such as
55 may allow personnel of an entity that operates the premises to
monitor operations of lighting and other systems at the premises
and/or make adjustments, remotely.
As another example of use of external communications, a server or a
combination of server and terminal device may be operated by a
service company, for example, an HVAC system service company. Such
a service provider may use the external computer equipment 53
and/or 55 to remotely monitor health of the HVAC elements of the
building control and automation system 10 at the premises 12 and
remotely provide related services to the entity owning or operating
the premises, such as troubleshooting, software
corrections/upgrades or the like via communication via the Internet
or an Intranet with the building control and automation system on
the particular premises. In such an example, the provider's service
functionalities may be considered as being out in the "cloud." As
another example, an enterprise having operations at some number of
disparately located premises can operate equipment like 53 and 55
to monitor lighting, HVAC operations, etc. of systems 10 at the
various premises 12.
As shown, the networks and elements of the system 10 in the
premises 12 are accessible from the outside, and this accessibility
also may make information from within the building control and
automation system at the premises 12 available to outside parties,
e.g. the power company, NOAA, etc. For example, the system can
provide sensor data and/or data about operating conditions of
various elements at the premises 12 to such other parties.
Various circuit elements (e.g. processor devices, memories and
associated architectures) may be used to implement the intelligence
of the intelligent system elements in the rooms or other service
areas at the premises 12. Also, the communications within the rooms
and other services areas as well as the communications to and from
the wider area network all may use various different types of data
networking media and protocols and/or media. As a result, various
types of one or more communications interfaces may be incorporated
into each of the various intelligent system elements (e.g. lighting
devices and/or utility building control and automation system
elements) in the rooms or other services areas and/or remote
devices in communication therewith, depending on the particular
media and/or protocol to be used in a particular premises 12 or
service area thereof.
The drawing shows one or more combined central overseer (CO) and
lighting controller services 57 in or coupled to the network 51 but
generally within the premises 12 (bottom middle of the drawing), by
way of an example. However, the CO 57 is shown in dotted line form
as it may not actually be implemented using a separate hardware
element.
Instead of providing a general purpose computer as a host or server
for the particular CO and controller service application, e.g. as a
BCAS server at the premises 12, the CO and controller service
functionality is illustrated here as an example of a type of
functionality that the system 10 may implement in programming
executed by one or more processors and/or using the memories of one
or more intelligent elements of the building control and automation
system 10. In the specific examples, the central BCAS control and
other related CO function(s) are implemented via distributed
processing of elements of system 10, such as the lighting devices,
utility building control and automation system elements, user
interface (UI) devices, sensors, etc., for example, as installed in
the various service areas A to N at the premises 12. Hence,
examples of the intelligent system elements, in the system 10 at
premises 12, include the including intelligent lighting devices
11A, 11B, the intelligent utility building control and automation
elements 71A, 71B, the user interface components/controllers 13A,
13B and any standalone sensor devices 15B.
The network links within the service areas, amongst the areas of
the premises 12 and from the premises 12 to the part of the network
51 that may be outside the premises 12 all may utilize any
convenient data communication media, such as power lines wiring,
separate wiring such as coax or Ethernet cable, optical fiber or
wireless (e.g. Bluetooth or WiFi). Some or all of the network
communication media may be used by or made available for
communications of other gear, equipment or systems within the
premises. For example, if combinations of WiFi and wired or fiber
Ethernet are used for the building control and automation system
communications, the WiFi and Ethernet may also support
communications for various computer and/or user terminal devices
that the occupant(s) may want to use in the premises. The data
communications media may be installed at the time as part of
installation of the building control and automation system or may
already be present from an earlier data communication
installation.
Within one room or other type of service area, the system might use
one, two or more types of communication media. Similarly, to
interconnect equipment in various rooms or areas and in turn
connect such elements into a broader network, the system may use
one, two or more types of communication media. Use of multiple
communication media, for example, might help to optimize bandwidth
throughput, cost and/or security. As a more specific example, an
application or function needing low latency communication between
devices that are physically close may use one media for the local
connection, but one of the devices at other times may need to send
large amounts of data to a remote location for processing via a
different wide-area media with faster data transport
capabilities.
A particular intelligent system element may act as a router or the
like to connect elements in one or more areas to the data
communication media of the LAN providing communication service to
other parts of the premises. The LAN interconnectivity function may
be implemented in one of the lighting devices, utility building
control and automation system elements, user interface devices or
sensors or other purposed devices within a service area.
Alternatively, some areas or groups of areas may utilize an
additional gateway hub (not separately shown) to provide the LAN
connectivity. The gateway hub in this later type of example is a
device that provides communications capabilities and is not itself
configured as a device of one of the other types. A gateway hub may
support communications capabilities to and from some or all of the
other devices within the room or service area. In some examples,
one of the other elements in the room or service area may support
the communication outside the room or area. In other arrangements,
the hub gateway provides the external network communications
capabilities, although in some cases is does support the local
intra device communications whereas in other examples the hub
gateway does not support the local intra device communications. A
gateway hub might also support other, non-building-control
capabilities (e.g. memory, processing power, etc.).
Also, in most of the examples, the elements of one service area
(e.g. room corridor, patio, parking lot, etc.) may be networked
together and connected to the broader area network; however, in
some examples at least, it may be more effective to connect the
elements in two or more service areas together and provide a
connection thereof to the broader area network. The system elements
will have stored therein provisioning data to enable physical
communication through the network communication media, amongst the
elements via the on-premises data communication network media and
in some cases via the portion of the network 51 that may be outside
the premises 12.
In addition to physical networking, such a system 10 associates
various elements/components of the system in a number of `logical`
ways. Logical associations into groups of "sub-networks" allow
elements to be linked together, for example, based on a control
grouping, based on similar properties, based on proximity, a
variety of other criteria and/or combinations of any or all such
properties. As one example, devices within one room or other type
of service area that are to be operated in some unified manner
(e.g. to light the room or area, or adjust the room or area's
temperature) may be linked together in one logical "Room"
sub-network.
As a more specific Room network example, although generally similar
in many respects, one of the devices in a room or other service
area may be configured as a `leader` unit whereas other system
elements in the particular room or other service area may be
configured as `follower` units with respect to the designated
leader. These relationships, however, are relatively dynamic and
readily configurable. For example, programming of the
devices/elements in the system provide automatic/autonomous
discovery at installation; and an initial set-up routine uses
results of the discovery process to set-up logical relationships
between devices, for example, including selection of a device as a
leader unit. However, at a later time, if the leader unit is
impaired or off-line, the network is self-healing in that some or
all of the set-up routine can be run again to select a replacement
as a new leader unit from among the other devices that are
operational on a particular part of the network. Alternatively, the
system may have fallback plan in place, in which one or more other
elements are pre-designated to take over the role of the leader in
the event of failure or impairment of the initially selected
leader. Effectively, such an arrangement may identify a first in
command (leader), a second in command, etc.
Of course, there may be a variety of other types of sub-networks
established amongst elements of the system 10 within the premises
12. For example, all of the wall controller type user interface
devices in a building might be logically linked in one grouping as
a "Building Controller" sub-network, to offer the ability to create
an overall view of the building control and automation operations
users have selected throughout the building. This overall view
might be helpful in determining how people interact with the
building control and automation system and thus help identify
pain-points in the building control(s) setup. Such an overall
controller view may also be helpful in remote access to system
functions, for example, to offer a control service in which a user
can control the building control and automation system in Room A
from Area N's control interface as though that user were in Room A.
As another example, all sensors (or all sensors of one type) may be
linked together in a logical grouping to allow reporting of one or
more detect conditions on an overall basis across the premises or
some portion (e.g. one floor) thereof. At least some of these
sub-networks that extend over multiple service areas may include a
central controller and/or CO service.
Also, logical networks may be networked together for some purposes,
e.g. so that a function of one logical sub-network may influence an
operation within another logical sub-network. For example, if
enough controllers indicate that lights have been turned to a
particular level, other lights not to that level yet in other rooms
or other areas may be similarly adjusted. One or more linked
networks can affect each other and possibly still other logically
networked elements. For example, if >x % of the occupancy
sensors in an area or space (e.g. floor or building), then the
space is considered "unoccupied." If >y % of the lights are OFF,
then the enterprise office formed by the space is considered
"closed." If the space is both "unoccupied" and "closed," then the
system can turn down the HVAC for the space and turn ON the
security system.
The central BCAS monitoring and/or control functions, any other
BCAS related CO functions and possibly any other CO functions of
the system 10 in our examples are implemented in the intelligent
system elements, for example, without the need for a hardware
platform at the premises for a server. An additional hardware
platform may be present for other purposes, e.g. for non-automation
related purposes of the enterprise or for local backup storage for
system related information. For normal real-time operation,
however, the elements perform the centralized processing. The
centralized processing for a particular function may be implemented
by appropriate configuration of the processor of as few as one
system element, e.g. one lighting device 11A or 11B. However, for
complex processing tasks and/or to provide the redundancy in
preparation for a possible failure of one or more system elements,
the system 10 most often will implement the `logically` centralized
processing as a higher layer logic distributed across some number
of the intelligent system elements. The examples discussed more
later encompass a variety of techniques for implementing CO,
central controller or other functions on a distributed processing
basis. With such an approach, a server functionality is distributed
as multiple instances of the applicable server programming on two
or more lighting devices or other system elements. Communication
traffic with other system elements acting as clients, and
associated server processing loads, can be shared for example in a
balanced manner, by the various lighting devices or the like acting
as the servers for the particular functionality. A system element
configured as a server, however, may also function as a client. In
a distributed server context, for example, one element running an
instance of server programming may source its client needs out to
another server that is less busy or otherwise more suited to the
required server task. Another distributed processing technique
involves sharing of processing and/or memory and/or software
resources of the intelligent system elements to handle a particular
task, whether the task would otherwise be for one end-use element
or would otherwise be a task for the element acting as a server.
Other relevant resources for sharing in distributed processing
might include input/output, networking, or any other resource. This
includes resources that an individual device has (near) exclusive
access to (e.g. one fixture might have a remote sensor, but the
sensor is "dumb" and is not on the building control and automation
network).
Considering first the resource sharing approach, different types of
resources and/or more of these exemplary resources may be
appropriate for sharing in distributed processing, depending on the
level of questions being asked or tasks been processed. For
relatively low level questions or tasks, the requestor may supply
everything, such as the data, instructions, etc., as part of the
work packet. In such a low level example, the remote element
receiving the task to process just executes the instructions on the
received data. For more complex tasks, it may make sense if the
software was pre-installed on the remote element and the requestor
sends basically just the data that needs to be processed through
execution of that software. At still a higher level, the requestor
may assign a task such that the other system elements need to pull
in some of their own data to provide the appropriate processing
result(s).
For example, a video camera might be sending frames out and ask
other devices to seek and identify any people in the frame. The
other devices may need to pull data from their cameras, and/or pull
facial recognition databases from some external server.
Additionally, a particular system element might have exclusive
access to resources that no other element has access to. For
example, if only one intelligent building control and automation
system element has a hardwire to the Internet, it may be able to
pass work packets on to servers or pull data from servers via that
Internet connection. As another example, one or some relatively
small number of system elements may already have installed software
of a type particularly useful in certain types of distributed
processing tasks. For example, image processing software may be
preinstalled on some elements, therefore it might be preferable to
send image analysis type jobs to those units.
Several examples of distributed processing functions involve
distribution of task or job processing to utilize resources of two,
three or more of the intelligent elements of the system 10. Such a
distributed processing operation involves an originating or
distributing element, that has a task amenable to distributed
processing, as well as one or more other elements serving as the
responding or receiving elements that offer/provide their memory or
processing resources for use in the particular distributed
processing operation.
For example, when one intelligent system element has a processing
job to perform using resources of other intelligent elements, the
one element can query the other elements of the building control
and automation system and receive responses from the other
intelligent elements of the building control and automation system
as to whether or not the other intelligent elements of the building
control and automation system have processing or memory resources
available for the processing job. Based on the responses, the one
intelligent element allocates portions of the processing job to
some number of the other intelligent elements of the building
control and automation system. The one intelligent element can then
send data and instructions to each element of the other intelligent
elements among that number, instructing each receiving element to
perform an allocated portion of the processing job. As the other
elements complete their allocated portions of the job, the one
intelligent element receives from those other intelligent elements
results of the performance of the allocated portions of the
processing job. The one intelligent element can then process the
received results to determine an overall result of the processing
job, and if appropriate, perform some action based on the overall
result of the processing job.
From handling of each job in this manner, an intelligent element of
the system 10 may learn of the other elements that offer resources
and of the performance of those elements on portions of jobs
distributed thereto. By analyzing metrics of the job distribution,
and storing the analysis results, the originating element can
refine its distribution process for each successive job as the
originating element attempts to use resources of other intelligent
elements.
In a another example of distributed processing, but from the
perspective of one of the intelligent elements that makes its
resources available for processing of a portion of a job from
another element, the one intelligent element may receive an inquiry
from the other intelligent element that has the processing job to
perform on a distributed basis. In response, the receiving element
may send a response with information identifying one or more of its
various resources, e.g. resources of its processor, memory,
software resources, etc., as available for distributed processing,
via the network, to the other intelligent element. The element with
the available resource(s) in this example receives data and/or
instructions for performing a portion of the processing job from
the other intelligent element via the network. The element will
then process the received data in accordance with the instructions
using the relevant available resources of the lighting device and
send a result of the processing via the network to the other
intelligent element.
Somewhat like the originating element, the job receiving element
can analyze metrics of job processing and store analysis results to
effectively learn about the impact of offering resources for
processing of jobs from various other elements in the system. In
this way, the element receiving an inquiry about available
resources can adjust its responses to future inquiries from the
other devices, e.g. to not respond or to offer less of its
available resources to particular requesting elements.
As another distributed processing example, if the system is
arranged to utilize a client-server model for some functionalities,
e.g. for an external communication function, for a CO and/or for a
higher layer control service, etc., the server providing a
particular functionality may be implemented on a distributed basis,
e.g. with instances of the respective server functionality running
in coordinated fashion on two or more of the intelligent system
elements in the premises 12. Since the higher level controllers may
be implemented as individual hardware or as program functions of
other intelligent elements of the system 10, they are considered as
controller services, for purposes of further discussion herein.
However, in view of our focus on distributed processing, we will
assume that most if not all of these centralized functionalities
that may be implemented as servers will be implemented using
multiple server instance distributed processing; and many such
examples below will utilize the higher layer control service(s) as
principal examples of services implemented via such distributed
server processing.
By way of an example of server types of distributed processing, the
system 10 implements one or more of the services 57, e.g. for BCAS
functions, on a distributed basis. In an example of this later
type, the building control and automation system 10 also includes
two instances of server programming. Although shown for convenience
in dotted line fashion as if separate server platforms in FIG. 1A,
the two instances of the server for the CO/controller/communication
service 57 are actually stored in the memories of respective first
and second ones of the intelligent system elements for execution by
processors of the first and second intelligent system elements. The
two instances of the server programming 57 configure the first and
second intelligent system elements to operate in a distributed
processing fashion to implement a server function with respect to
an overall processing function of the system and related server
communications via the data communication network. Such a system
may also include client programming stored in memories of
intelligent system elements other than the first and second
lighting devices for execution by processors of the other
intelligent elements to configure each of the other intelligent
elements to implement a client function with respect to the
particular overall processing function of the system and related
client communications with the server function implemented by the
instances of the server programming 57 on the first and second
intelligent elements.
As shown by the discussion of the components of the system 10 so
far, system elements in each service area include intelligence as
well as communications capabilities. The precise operations of such
a system can be defined by provisioning and/or configuration data
stored in and used by the various intelligent system elements. In
the examples, provisioning data is data used to set-up or enable
operation of a system element so as to communicate via at least a
portion of one or more of the networks of the system 10 and though
such networking to communicate with some or all of the other
elements of the system. In addition to communication via the
physical network, elements of the system 10 can be logically
associated to form logical groups or logical sub-networks, for a
variety of purposes. In the examples, configuration data is data
used to establish one or more such logical associations.
As used herein, commissioning encompasses various functions to
set-up elements of the system for operations. Examples of functions
involved in commissioning include provisioning elements for network
communications, e.g. for physical communication with other elements
via the applicable network media. Provisioning often entails at
least some storage of data (sometimes referred to as provisioning
data) for use in such communications within each system element.
Some provisioning data also may be stored in an element
implementing a routing or central network control function, e.g. to
facilitate network-side aspects of the physical communications.
Examples of functions involved in commissioning also include
configuration of system elements to associate elements in one or
more logical groupings of `sub-networks,` to facilitate functional
operations of the associated system elements. Configuration also
will typically entail storage of data (sometimes referred to as
configuration data) in the elements being associated in a
particular logical group or sub-network.
For example, the data stored in an element may identify one or more
logical groupings to which the particular element belongs. Some
configuration data also may be stored in an element designated to
implement a central overseer type control function.
In the example of FIG. 1A, provisioning data is stored in the
memories 23A of the first lighting devices 11A and the memory 33A
of the first building controller 13A to enable physical
communication among the first lighting devices 11A and the first
building controller 13A via the network 17A and to enable physical
communication of the first lighting devices 11A and the first
building controller 13A via the wider area network 51.
Configuration data is stored in the memories 23A of the first
lighting devices 11A and the memory 33A of the first building
controller 13A for logically associating the first lighting devices
11A and the first building controller 13A together to operate as a
first area lighting portion of the system 10, in this example,
providing lighting service to the room A. Since the sensor 15A is
implemented as an element of lighting device 11A', the provisioning
and configuration data of that device 11A' facilitate
communications via the networks 17A and 51 regarding sensor
operations as well as operations of the sensor as part of the first
area building control and automation system.
Provisioning data is similarly stored in the memories 93 (see FIG.
1C) of the first utility building control and automation elements
71A and the memory 33A of the first building controller 13A. This
stored provisioning data enables physical communication among the
first utility building control and automation elements 71A and the
first building controller 13A and the lighting devices 11A, via the
network 17A; and the stored provisioning data enables physical
communication of the first utility building control and automation
elements 71A and the first building controller 13A via the wider
area network 51. Configuration data is stored in the memories 93 of
the first utility building control and automation elements 71A and
the memory 33A of the first building controller 13A for logically
associating the first utility building control and automation
elements 71A, the first building controller 13A and possibly
lighting devices 11A together to operate as a first area portion of
the building control and automation system. If there are sensors 94
implemented as elements of any of the first utility building
control and automation elements 71A, the provisioning and
configuration data of those elements 71A facilitate communications
via the networks 17A and 51 regarding sensor operations as well as
operations of the sensor as part of the first area building control
and automation system.
In a similar fashion, provisioning data also is stored in the
memories 23B of the second lighting devices 11B and the memory 33B
of the second building controller 13B to enable physical
communication among the second lighting devices 11B and the second
building controller 13B via the network 17B and to enable physical
communication of the second lighting devices 11A and the second
building controller 11B via the wider area network 51. Furthermore,
configuration data is stored in the memories 23B of the second
lighting devices 11B and the memory 33B of the second building
controller 13B for logically associating the second lighting
devices 11B and the second building controller 13B together to
operate as a second area lighting portion of the system 10, in this
example, providing lighting service to the room or other type of
service area B. Since the sensor 15B is implemented as a standalone
device, similar provisioning and configuration data is stored in
the memory 47B of the sensor 15B, to facilitate its communications
via the networks 17B and 51.
Provisioning data is similarly stored in the memories 93 (see FIG.
1C) of the second utility building control and automation elements
71B and the memory 33B of the second building controller 13B to
enable physical communication among the second utility building
control and automation elements 71B and the second building
controller 13B and the lighting devices 11B, via the network 17B,
and to enable physical communication of the second utility building
control and automation elements 71B and the second building
controller 13B via the wider area network 51. Configuration data is
stored in the memories 93 of the second utility building control
and automation elements 71B and the memory 33B of the second
building controller 13B for logically associating the second
utility building control and automation elements 71B and the second
building controller 13B and possibly the lighting devices 11B
together to operate as a second area portion of the building
control and automation system. If there are sensors 94 implemented
as elements of any of the second utility building control and
automation elements 71B, the provisioning and configuration data of
those elements 71B facilitate communications via the networks 17B
and 51 regarding sensor operations as well as operations of the
sensor as part of the second area building control and automation
system.
In addition, configuration data is stored in the memories of at
least one of the first lighting devices 11A, one of the first
utility building control and automation elements 71A and the first
building controller 13A and stored in the memories of at least one
of the second lighting devices 11B, one of the second utility
building control and automation elements 71B and the second
building controller 13B to logically associate the elements storing
such data in respective memories together to operate as a system
for a predetermined function for both the first area A and the
second area B. For example, such configuration data may be stored
in the building controllers 11A, 11B to group the controllers
together, so as to coordinate a building status reporting function.
Sensors of a particular type, e.g. temperature, ambient light level
and/or occupancy, also may be grouped together for a common
reporting function or to provide a common influence with respect to
lighting, HVAC, safety and security or some other operation or
function associated with the building premises.
The provisioning and/or configuration data may be stored into the
memories of the various system elements via a variety of
procedures. For example, one or both types of data may be manually
input by a technician with a terminal device, as system
installation or as new elements are added to an existing
installation. Alternatively, the provisioning and/or configuration
data may be acquired by a system element and updated in other
system elements via an autonomous commissioning procedure in which
the elements communicate and determine each other's capabilities.
The commissioning also may lead to storage of at least some of this
data in a central overseer (CO) service functionality, such as the
server instances 57, and then provided to assist in commissioning
of a new element on the system or in reconfiguration or corrective
configuration of an existing element of the system.
The intelligent building control and automation element will
include a `brain` or central processing unit (CPU) component, which
essentially includes the processor and memory (see examples in FIG.
1A). Although not separately shown in FIG. 1A, the intelligent
building control and automation system element also may include one
or more standard connectors for coupling of other components to the
`brain` of the element. The CPU component may include the one or
more communications interfaces, or the communications interface(s)
may be provided via a separate component/board/module. If built on
a personal computer like design, for example, an intelligent
building control and automation system element might include one
mother board that has the CPU circuitry, an Ethernet port, a WiFi
transceiver and one or more USB ports and a coupling to connect to
a standard light driver. However, each intelligent utility building
control and automation system element could utilize the same mother
board, although different implementations/product offerings could
incorporate different light sources coupled to the light driver
port and/or different enhancements (e.g. sensors, or input/output
devices coupled to the USB port(s)).
As products sold to customers, the intelligent utility building
control and automation system element equipment manufacturer could
offer a range of intelligent utility building control and
automation system elements with a wide range of capabilities at
various price points. However, across such products, many elements
of the devices, including the `brain` and the communications
elements and other interfaces, would be essentially the same.
Interfaces configured for standardized modular plug-in coupling
could be provided in such devices to facilitate easy addition of
various enhancements, such as sensors, input and/or output devices
(e.g. for audio and/or video), extra memory, extra processor(s),
additional communication components, etc. Plug-in here may utilize
a physical and electrical connection or utilize some other type of
coupling, e.g. capacitive or inductive. Any plug-in module that may
require the `brain` of the device to run additional programming for
the device to be able to utilize or work with the plug-in module
could have the requisite programming stored in memory in the
module. In such a case, the `brain` of the device and the module
would be configured to upload the requisite programming from the
memory of the plug-in module to the memory of the device, when the
module is installed in the device. Alternatively, installation of
the plug-in module could cause the processor of the device to
communicate via network with an appropriate server to obtain any
programming that may be required for proper device operation with
the newly installed module.
Various circuit elements (e.g. processor devices, memories and
associated architectures) may be used to implement the intelligence
of the various lighting devices in the rooms or other service areas
and/or the building control and automation system elements
throughout the premises. A PC based approach, for example, may
utilize any microprocessor architecture such as a Reduced
instruction set computing (RISC) using an ARM architecture, as
commonly used today in mobile devices and other portable electronic
devices, or a microprocessor architecture more commonly used in
computers such as an instruction set architecture (ISA), like those
used in Intel microprocessors and the like. The PC-like or other
microprocessor based approaches are discussed by way of examples;
and other processor implementations may be used, such as based on a
Peripheral Interface Controller (PIC) or other microcontroller
architecture. Alternative intelligent architectures for the
intelligence of the lighting devices and/or the building control
and automation system elements, however, will still include
appropriate communication interfaces and couplings for light
sources and may include other standardized ports for connections of
sensors, user input/output devices, etc.
The sensor elements (S) of the system (see 15B in FIG. 1A) may have
electronics somewhat similar to those of the lighting devices
discussed above, particularly with respect to the `brain` and the
communication interface(s). The sensor elements, however, may
include USB or other port(s) for coupling to physical detector
elements and associated interface electronics (Int.) built to the
selected interface standard (e.g. USB). The user interface (UI)
devices likewise may have electronics somewhat similar to those of
the lighting devices and the intelligent utility building control
and automation system elements discussed above, particularly with
respect to the `brain` and the communication interface(s); although
UI devices may incorporate or have ports for particular types of
user input/output components.
Although not separately shown for convenience, the intelligent
system 10 may include and/or provide at least communications for a
wide variety of other types of intelligent system elements in any
or all of the rooms or other types of service areas A to N. Some of
the other elements may be sold by the vendor that provides the
other intelligent utility building control and automation system
elements, sensors and user interface devices and associated
intelligent element programming but be configured for other
purposes. Others of such additional system elements may be
manufactured and sold by other third party entities. All of these
other elements that may be part of the system and/or may be
communicating through the system will include some intelligence,
such as some form of processor and memory; and such other elements
will include communication interfaces and implement protocols
compatible with the data communication networking of the system 10
at the premises 12. In some cases, third parties' system elements
may themselves be `lighting` related, such as lighting controllers,
but manufactured by parties other than the vendor that manufactures
the overall system and most of the components thereof. As another
example, the other intelligent system elements may be controlled
devices and/or user interfaces or controllers for other types of
utility building control and automation equipment, e.g. HVAC and/or
any industrial/commercial equipment running on the premises,
whether or not manufactured by parties other than the vendor that
manufactures the overall system and most of the components thereof.
As still further examples, the other intelligent system elements
may be security system devices, building access control device,
inventory control monitors, location/positioning devices (e.g.
indoor "GPS") or any device using the building control network as a
communication backbone.
As shown in the discussion above, the room controller typically
will be an actual device, such as UI devices 13A and 13B in our
examples. A floor-wide and/or building-wide controller and any
associated CO functionality could be a hardware device somewhere in
the system 10; but in our examples, such a broader area controller
may be implemented as processing functions or services on one or
more system elements deployed for other purposes. Since the higher
level controllers may be implemented as individual hardware or as
program functions of other equipment, they are considered as
controller services, for purposes of further discussion herein.
However, further discussion of such services will focus on the
exemplary distributed processing implementations thereof.
For example, a lighting device 11A', 11B' having or enhanced with
appropriate memory and processing capacity may be programmed to
function as a floor-wide controller as well. To other elements on
the floor, this lighting device enhanced with the controller
service programming would appear on the network as a server, with
respect to client programming implemented by the system elements,
included within the floor-wide control grouping or sub-network. If
the system is arranged to utilize a client-server model for such
control functionalities, the server providing the floor or building
level control may be implemented on a distributed basis, e.g. with
instances of the respective server functionality 57 running in
coordinated fashion on two or more of the intelligent system
elements in the premises. In our example of the lighting device
acting as the server for the floor-wide controller function, that
device would run one instance 57 of the applicable controller
server programming. At least one additional instance of that
programming would run on another intelligent element, such as
another lighting device, a utility building control and automation
system element, a UI device or a sensor. If occasion arises when
one or both instances of such a functionality might require
additional resources, at any such time the controller service
server instance may distribute controller related tasks to other
elements, for example, by acting as a client to request assistance
from another server instance that is less busy or otherwise more
suited to the required server task; or the controller service
server instance may distribute portions of a task for handling via
resource sharing, as discussed relative to FIG. 2. Although the
floor-wide controller service is used by way of an example here, a
building controller service or a higher level controller service
(e.g. campus or enterprise wide) may be similarly implemented via
distributed processing on intelligent elements of the system
10.
The configuration data stored in the intelligent system elements
that are subject to the higher level controller service(s) would
include a priority relationship as between any such higher level
controller services and the respective room controllers and/or any
sensor responsive control functions implemented in respective
individual system elements. For example, at least for some types of
installations, a command from a floor-wide controller may override
any command from a room building control and automation controller
(from a local UI device) and override any utility building control
and automation element setting established in response to a
condition detected by a sensor. A building-wide controller service
would have priority over any floor-wide controller services in the
building, as well as over the room controllers and the sensor
responsive control functions. The floor-wide and/or building-wide
control services may also allow interaction with other computers
and/or terminal devices, such as elements 53 and 55 in the example
of FIG. 1A. The algorithms set at each level of the control
hierarchy, however, may be varied and may be chosen by the system
designer, the premises owner or the entities that will occupy some
portion(s) or all of the service areas in the premises 12; and the
priorities set amongst the system elements during commissioning may
in at least some premises be similarly set by the system designer,
the premises owner or the entities that will occupy some portion(s)
or all of the service areas.
One or more CO/controller services may be for or include an
associated system maintenance capability. Some or all of the
elements of the system would then provide information to that
CO/controller as may be appropriate for system health monitoring.
For example, an intelligent utility building control and automation
system element in a room may determine that it has not heard from a
sensor in its room for some extended period of time and report to
the maintenance CO/controller so that that CO/controller can
initiate appropriate further action (e.g. attempt to communicate
with the sensor and perform a diagnostic and correction routine and
report to a technician if that communication should fail).
Similarly, if an existing element receives communication from a new
element, it may communicate with the system maintenance or another
CO/controller to determine if the new element should be on the
network, before assisting the new element in its self-commissioning
into the system.
Although control functions are discussed above for purposes of
explaining the controller/controller service hierarchy, the
controller functionalities also will typically support related data
communication for reporting or the like. For example, sensor,
lighting device and/or utility building control and automation
system element status data may be reported to each applicable
higher level controller service and becomes available to other
equipment or entities with appropriate access to the controller
service, e.g. so that a building manager can see what rooms are
illuminated, what rooms are occupied, ambient light levels, room
temperature, UI device states, which elements are ON/OFF in
relation to the other room states, and the like. Similarly, the
higher level controller service(s) may offer access to some or all
of such data to outside parties, such as the power company.
FIG. 1B is a high-level block diagram of an example of a room C in
the networked building control and automation system 10, many
elements of which are installed at a premises 12. This room is
analogous to room/areas A and B described in FIG. 1A with respect
to all functionality and the types of system elements that it may
comprise, but this second drawing shows several examples of the
utility building control and automation system elements.
Like rooms A and B, room C may include any number of lighting
devices 11C, such as fixtures and lamps, utility building control
and automation system elements, such as HVAC, security systems,
building access systems, fire or safety alarm systems or commercial
systems, as well as lighting controllers, such as switches, dimmers
and smart control panels. At least a substantial number of the
lighting devices are implemented as intelligent system elements,
which each include a processor and a memory. The intelligent
lighting devices, along with many of the intelligent utility
building control and automation system elements, also incorporate
network communication capabilities.
As shown in the example, the service area represented by room C
includes an appropriate number of lighting devices 11C, for
example, to provide a desired level of lighting for the intended
use of the particular space in room C. Room C also includes a user
interface (UI) device 13C, which in this example, serves as a
building controller. In this particular instance, room C further
includes standalone sensors 15C, which have the same composition as
sensor 15B discussed above relative to FIG. 1A. In this example,
room C represents a commercial area and has a number of specific
examples of utility building control and automation system
elements. These examples include security system elements 73C, HVAC
system elements represented by the heat and/or air conditioning
(AC) generator 75C and controllable vents 77C, commercial
refrigeration elements 79C and building or room access control
system elements 80C. Room C may also include any number of other
types of utility building control and automation system elements
71C. All of these various intelligent system elements in or
associated with room C are connected to the room's data
communication network 17C, and the requests and data of the various
building control and automation elements are handled by the
lighting device 81C acting as a BCAS server (e.g. running one of
the instances of the server 57 of FIG. 1). Although shown in the
room C, the lighting device that also operates as the BCAS server
81C may be a lighting device in another room and may provide the
server functionality for some number of the rooms or service areas
of the premise 12.
The BCAS elements featured in room C may respond in a coordinated
fashion to any number of inputs from the UI device 13C and/or
sensors 15C. In this example, the collection of building control
and automation elements can share data over the network 17C and
intelligently handle requests from the UI device 13C and sensors
15C. For instance, if the sensors 17C detect that there is no
occupancy in the room, one or more of the elements may send a
request over the network 17 to BCAS server 81C to coordinate the
other BCAS elements appropriately. This may entail coordinating the
lighting devices 11C to turn the light level down, activating one
or more access control elements 80C to lock one or more rooms or
the entire premises against access by unauthorized personnel,
activating one or more security system elements 73C to monitor for
activity, adjusting the activity level of HVAC element 75C and the
status of vents 77C to set room temperature to a more cost
effective level, changing the temperature in refrigeration units
79C, and/or making any number of other building control and
automation adjustments.
FIG. 1C depicts an example of an intelligent utility building
control and automation element 71. The example 71 of the element
configuration depicted in FIG. 1C may be used to implement any of
the elements 71A, 71B of FIG. 1A, or any of the elements 71C to 80C
in FIG. 1B.
The element 71 is an intelligent device in that the element 71
includes a processor 91 and a memory 93. This `brain` of the
element 71 will be coupled to and control appropriate device drive
electronics 99. The drive electronics 99 provide an interface to a
controllable mechanism 101 of the particular element 71, to allow
the processor 91 to control the mechanism, or to receive sensor
data from the mechanism or both. The drive electronics 99 and the
programming (e.g. stored in memory 93) that is run by the processor
91 to control operation of each particular element 71 will depend
on the particular type device used as the mechanism 101 and thus on
the particular type of utility building control and automation
element product that the arrangement 71 represents or
implements.
The examples of element 71 may be virtually any type of device,
typically not directly related to lighting operations of the system
10, which may utilize data communications, in this case, via the
elements and network of the system 10, and which may interact with
the server instance 51 or other system control functionality
provided by the lighting elements 11A, 11B. By way of a few
examples, the controllable mechanism 101 may be any of a variety of
HVAC components (e.g. elements of a thermostat, one or more
elements of the heat/cooling system, controllable vents or dampers
within the duct work), one or more cooling or other elements of a
refrigerator, any of a variety of components of a security system,
any of a variety of access control elements, and/or sensors related
to any or all of the above functions.
The intelligent utility building control and automation element 71
also includes a communication interface 95. Like the communication
interfaces in the other intelligent system elements, the interface
95 connects or otherwise couples to the network media in the
service area and supports two-way data communication through the
network(s) 17A-17C and/or 51 of the system 10. Although not shown,
intelligent utility building control and automation element 71 may
have more than one communication interface, for example one for a
wired or optical fiber medium and another for optical or radio
frequency wireless communication.
In the example of FIG. 1C, the utility building control and
automation element 71 is shown as having one processor, for
convenience. In many instances, these elements may have multiple
processors. For example, a particular configuration for an element
71 may utilize a multi-core processor architecture. Also, some of
the other components, such as the communications interfaces, may
themselves include processors.
An intelligent utility building control and automation element 71
may include one or more input and/or output (I/O) elements 97 for a
user interface. The user I/O element 97, for example, may include a
toggle switch, a rotary controller, one or more sliders, a keypad
and/or a touchscreen display. The precise user I/O element, if
provided, depends on the operational characteristics of the
particular element 71. For example, for an HVAC controller, the
user I/O element(s) 97 might be similar to those of a digital
thermostat. A touchscreen display, as another example, may support
touch and touch gesture input as well as visual display output.
Other examples of the UI input may include a video input and
associated processing for gestural control detection, a microphone,
an occupancy/motion sensor, proximity sensor, etc. If provided,
outputs may be visual, audible, tactile, etc. For example, a
microphone and/or speaker may be used to support audible input
and/or output, whereas a camera in combination with projector or
display may be used to support visual input and/or output.
As an alternative or in addition to any sensors included in the
controllable mechanism 101, an intelligent utility building control
and automation element 71 may include one or more sensors 94. If
included, the type of sensor in a particular element 71 would
depend on the type of element and/or the mechanism 101 that the
`brain` controls through the electronics 99.
The discussion above has outlined several techniques for
distributed processing that may be implemented in the context of a
building control and automation system like system 10 of FIG. 1A or
FIG. 1B. It may be helpful to consider some more specific examples
of distributed processing operations. The process flow shown in
FIG. 2 represents a simple example of a first type of procedure for
distributed processing, which may be implemented in a building
control and automation system like the system 10 of FIG. 1A or FIG.
1B.
In the example, a first intelligent system element has a processing
job to perform. The element may be any intelligent element of the
system 10, although for purposes of a specific example to discuss,
we will assume that the element that has the processing job or task
is one of the lighting devices, and is therefore identified as
device 1 in FIG. 2. At step S1, the device 1 recognizes that it may
be prudent to seek help to perform the task at hand, in this case,
using resources of others of the intelligent system elements.
The device 1 can perform at least some tasks utilizing the
element's own internal processor and memory. For example, a
lighting device typically will be able to receive and appropriately
process a lighting command, e.g. to set a light level and/or to set
an associated color characteristic of the device's light source, to
adjust its operational light output as commanded, without the need
for resources of other intelligent elements of the system. A user
interface (UI) device configured as a building controller generally
will be able to send commands in response to user inputs to any
lighting devices it controls; and, at least under most
circumstances, a sensor will be able to report its sensed condition
to any system elements configured to receive and utilize such
information. Similarly, an intelligent utility building control and
automation element will be able to perform some internal processing
and act on the results, e.g. a heat/cooling generator 75C will be
able to change back and forth between heating and cooling and turn
on and off in response to individual commands to provide the
appropriate operations for adjusting air temperature in the
premises or in individual rooms or other service areas of the
premises.
However, other tasks may more readily lend themselves to
distributed processing. Some such tasks with a potential for
distributed processing may call for more processing or memory
resources than readily available within the device 1 (e.g. without
compromising core lighting functions of the device). Tasks with a
potential for distributed processing typically will be tasks that
can be handled in some reasonable fashion by some number of
individual elements, e.g. can be readily split into subtasks for
processing and/or storage in different elements, although there may
be some tasks that by the nature of the processing or storage
involved cannot readily be spilt amongst multiple elements. Some
tasks may require faster completion than the device alone can
provide with only its own resources and therefore best implemented
via distributed processing.
Conversely, some resource intensive tasks may be relatively
insensitive to time-to-completion and amenable to wider
distribution for processing (e.g. processing of audio, image or
video data). The distributed processing tasks may relate to
building control and automation system operations, general
processing tasks associated with the system and/or tasks for other
parties. Lighting tasks that may be amenable to resource sharing
type distributed processing, for example, may relate to lighting
control operations, e.g. to process data from numerous sensors and
make some overall control decision. HVAC tasks or combinations of
access control and security tasks may also involve processing and
responding to sensor information obtained across all or a
substantial portion of the premises and therefore may be amenable
to resource sharing type distributed processing. Such lighting or
other tasks may be implemented by an element operating as a server
for one of the CO/controller services, which, when appropriate,
obtains access to resources of other intelligent system elements.
General processing tasks of the system may include, for example,
processing audio or video inputs, either for a lighting or other
building control operation in response to user input in such a
fashion or for some other system function or feature (e.g. to
access information or a non-lighting control function in response
to the user audio or video input). A task for an outside party
might entail processing sensor, audio or video input data from the
system elements for delivery to an outside party, either on a
regular basis or in response to a specific request/instruction from
the outside party. Similar processing may be handled on a
distributed processing basis within the system, to process such
data received from outside the system.
From the various factors involved in the processing task at hand,
in the processing flow of FIG. 2, the device 1 will recognize that
the task is one that is appropriate for distributed processing,
e.g. involving processor or memory intensive operations and/or not
time critical, etc. Also, based on characteristics of the job, e.g.
source, lighting/non-lighting function, time sensitivity, or the
like, the device 1 will assign a relative priority value or level
to the particular processing job. The programming and/or the
protocols used for signaling between system elements that may be
involved in distributed processing in the system 10 can define an
appropriate format and range of values for a job priority level
parameter.
The lighting device 1 will be in communication with at least some
number of other intelligent elements of the building control and
automation system 10, referred to in this process flow example as
neighbors of the device 1. The neighbor elements may be other
lighting fixtures, intelligent utility building control and
automation system elements, intelligent UI devices, intelligent
sensors or any other type(s) of intelligent elements that are part
of or communicating via the building control and automation system
10.
At step S2, the lighting device 1 queries other intelligent system
elements, i.e. the neighbors in the example, essentially to request
help in performing the processing task or job. The queried
neighbors may include any number of other elements of the system
10. A small group of neighbors, for example, might be those
elements logically associated with the device in some small group
or sub-network, such as elements in the same room or other service
area sub-network. The queried neighbors may include all system
elements on the system 10 or any sub-set of elements between the
smallest size group and the complete set. As discussed more later,
the sending device 1 may pick and choose which of its `neighbors`
from any particular grouping to query with regard to the current
job or task, based on information about element performance learned
from earlier distributed processing of other tasks and/or
requirements for the task at hand.
The exemplary distributed processing procedure includes learning
features, for the device that is distributing the job and for the
neighbors that respond to queries or requests to contribute
resources for distributed job processing and/or that actually
contribute their resources to distributed job processing. The
learning process on each side of the distributed processing, job
sub-task distribution as opposed to offering resources and
performing an allocated sub-task, help the various system elements
to adapt and optimize the distributed processing operations over
time. As will be discussed at various stages of our description of
the exemplary processing flow, information that has been learned
from distributed processing of prior jobs informs the various
elements in their decisions or responses at various stages of the
process. Optimization may also involve some randomization.
For learning purposes, each intelligent system element configured
to distribute portions of a task may establish, maintain and store
a learning table for the distribution function; and each
intelligent system element configured to offer resources to another
if instructed contribute such resources to a distributed
intelligent system element and processing operation may establish,
maintain and store a learning table for such in-bound query
response and sub-task processing. Of course, many of the
intelligent system elements may play both roles during processing
of different jobs over a period of time and may learn about both
sides of the distributed processing. An intelligent system element
configured to participate on both sides of the distributed
processing may maintain learned data about both types/sides of the
operations, either in two tables or in a combined table. If
separate tables are used, each table may be adjusted in response to
a change in the other, in appropriate circumstances.
In general, learning entails analysis of performance by an element
and/or by other elements involved in handling of each distributed
processing job determine to distributed processing metrics of
performance. Examples of learned performance parameters that may be
assessed in selecting other neighbor elements during the task
distribution include turn-around time or turn-around time per unit
of processed data, number or percentage of dropped packets, average
amount of memory resources offered (e.g. bytes of storage) and/or
amount of processing resources offered (e.g. in units related to
data to be processed, number of processing cycles or average
processing rate) and/or actually provided, during some number of
prior distributed job processing operations. Examples of learned
performance parameters that may be assessed in determining how to
respond to a new inquiry for distributed processing assistance
include amount of data processed, time required, resources used,
delay incurred in processing of other tasks, or the like, for tasks
distributed by the received device.
In general, the learned distributed processing metrics of
performance allows an element to prioritize one or more lists of
neighbors/other elements for use in making decisions and selections
based on highest relative ranking on the applicable list. For
distribution, the device 1 may select some number of the highest
ranking neighbors. In contrast, an element offering to take part in
a distributed task may choose whether to offer to help or how much
if any of that element's resources to offer based on the ranking of
the particular requesting device 1, based on learned distributed
processing metrics of performance. With such an approach, an
element tends to select or respond most favorably to the highest
ranked element(s) in the particular prioritized listing, in an
effort to optimize operations.
When decisions in the process of FIG. 2 are made based on the
learned performance metrics about other elements, however, the
element making the decision can introduce a random variation in the
decision, for example, to select or respond to a lighting device or
other element that has not or seldom been chosen or favored at the
particular decision point in the past. As a result, the element
making the selection or response will from time to time randomly
select or favor another element that would otherwise appear as less
than optimum based solely on the previously learned performance
information. However, this allows the selecting or responding
element to learn more about the randomly chosen element for future
processing purposes and update the parameters in the learned
table(s) for optimization of future distributed processing
operations. A random variation of this type, for example, may allow
the element making the decision to discover changes and adjust its
learned information accordingly, for better optimization of future
distributed processing operations.
Returning to the example of a resource sharing type distributed
process flow of FIG. 2, in a particularly intelligent
implementation of the distributed processing, the device with the
task to distribute can select among elements in some group or
sub-group based on performance data about elements in the group or
sub-group learned from prior job distribution operations for
sending the query in step S2. The learned performance parameters
for job distribution enables the device 1 to prioritize a list of
neighbor elements for job distribution and to query some number of
the highest priority elements likely to offer and provide
sufficient resources to handle the particular task at hand. Only a
few may be chosen from the high-end of the priority list for a
small task, whereas the sending device 1 may select more or all of
the neighbors to query for a larger task. As the process is
repeated over time for multiple distributed processing tasks, the
device 1 will tend to most often choose the other elements that are
rated higher for performance based on the learned performance
parameters, for the query step. Lower rated elements will be
selected less often. However, the priority for such selection for
the query step S2 may change over time as conditions at other
elements change and the sending device 1 updates its learned
performance metrics accordingly; and the occasional randomization
of the neighbor selection can enhance the process of learning about
changes.
The device 1 sends the query message through the network media used
in the relevant portion(s) of the system 10 installed at the
particular premises 12, to the neighbors chosen initially for
purposes of the inquiry about the current task processing. The
inquiry, for example, may be sent as a broadcast, sent as a
multicast to selected neighbors or sent as individual data messages
to each of the selected neighbors, depending on the network media
and/or data communication protocols utilized by the particular
system implementation.
The request message for the query in step S2 will include at least
some information about the current job, including the assigned job
priority level. The information in the query, for example, may also
provide various metrics about the task at hand and/or the subtasks
thereof being distributed to other elements. For example, such
information may indicate the type of processing involved, the
type/format of the data to be processed, any time constraints or
deadlines for sub-task completion, the overall amount of data or
the expected sub-divided amounts of data to be processed by
recipient neighbors, or any other parameters about the task that
may be helpful in enabling the queried neighbors to determine how
to respond to the query. The information about the current job may
also include a job or task identifier.
Each queried neighbor element will analyze the information about
the job from the query message it receives from the device 1 in
comparison to its own resources, current data processing
operations, status or the like. For example, the receiving element
may compare the priority of the task that is to be distributed to
the priority or priorities of any of its own tasks in progress or
any distributed processing sub-tasks the receiving element may
already be working on for other source elements. The receiving
element may also analyze factors about the task that is to be
distributed, versus what if any of its own resources that element
might offer and allocate to the task, in view of its ongoing
processing operations and any expected higher priority tasks. For
example, if the receiving element is a lighting device, that
receiving element may be able to offer some resources to handle
part of the task but still reserve sufficient resources to address
a command to change a light setting if received while working on a
part of the task.
Neighbor elements that do not have (or for various reasons will not
offer) resources may not respond to the query. Alternatively, such
unavailable neighbor elements may send responses, but their
responses in such cases would indicate that they are not offering
resources to assist in performance of the distributed processing
job currently offered by the device 1. In the example, the device 1
will adjust its learned table about its neighbors to reflect any
neighbors that do not offer to assist in the distributed processing
job. e.g. to indicate other elements did not respond or indicate
any reason given in a response declining to participate.
Each receiving element that has resources available will set a
request timeout and send a reply message back through the network
to the device 1 (S3). This period essentially is a time limit
during which the neighbor will wait for further instructions about
the job. However, if the timeout period expires (S4) without
follow-up instructions about the job from the device 1, then the
neighbor will release the promised resources at step S5, in this
scenario, without having processed any part of the task at hand. In
this way, the unused resources are available for other uses by the
neighbor or for other distributed processing operations. After
releasing the resources, the neighbor element will update its
learning table about distributed processing offered by other
elements, as shown at S6. In the timeout scenario (that passed
through S4), for example, the neighbor will update its learned
performance metric information about device 1 to reflect that
device 1 did not send a sub-task to the neighbor after the neighbor
offered resources in response to the query. The neighbor can use
such performance metric information in future to adjust its
responses to future queries from device 1.
Returning to step S3, as noted, at least the neighbors that have
and will offer available resources send back a reply message, which
is received at the device 1. Each reply from a device offering to
participate in the distributed processing operation will include
information about the resources of the neighbor element which that
element is offering to make available for sub-task processing of
the currently offered job. Examples of such available resource
information include: processing power, memory, software/capability,
reservation time, etc. Each reply may also indicate the relative
priority of any local task or prior distributed processing task
that is already in progress on the responding neighbor element. In
this step S3, the requesting device 1 will receive similar replies
from some number of its neighbors, indicating whether or not the
other intelligent system elements have processing or memory
resources available for the processing job. In our example, at
least some of the replies from neighbors offering available
resources provide information about the resources that each other
element offering to help in the distributed task processing can
make available. In the example, the device 1 will adjust its
learned table about its neighbors to reflect those neighbors that
offered to assist in the distributed processing job and/or to
reflect the resources each such neighbor offered in response to the
inquiry sent in step S2.
In step S7, the device 1 with the task to distribute analyzes
potential candidates for distributed processing of the task, for
example, to prioritize a list of the neighbor elements that
responded (respondents, in the drawing). The device 1 can
prioritize the respondents based on information contained in the
responses, for example, based on information about the resources
each is offering and/or priority of any other tasks the respondents
are already processing. The device 1 can also prioritize the
respondents based on learned information regarding performance
metrics of the respondents that the device 1 selected and used to
assist in prior distributed processing operations.
The device 1 in our example will also know the priority and
requirements of the data processing task that the device 1 is
trying to distribute. From the prioritized list created in S7, the
device 1 can now select an appropriate number of the respondents
starting at the highest rank and working down through the list to
select a sufficient number of the respondents to provide the
resources to meet the requirements of the particular data
processing task.
The device 1 essentially allocates portions of the processing job
to the selected respondent elements. Hence, at step S8, the device
1 creates work packets for the selected respondents. By work
packets here, we do not necessarily mean IP packets or the like,
but instead are referring to sets of instructions and associated
data for the portions of the job that the device 1 allocates to the
selected respondents. For large processing jobs, for example, in a
system using IP packet communications over the network media, each
`work packet` for a sub task allocated to a selected respondent may
utilize some number of IP packets addressed to the particular
respondent neighbor element. The device 1 may send one, two more
work packets to each of the selected respondent neighbor elements.
In our example, the distributing device 1 stores a record of each
work packet and an identifier of the neighbor element to which
device 1 assigned the particular work packet.
The work packets created for each selected respondent may be
tailored to the particular respondent. For example, respondents
offering more processing or memory resources may be sent more of
the data to process. Respondent elements with particularly
advantageous capabilities (e.g. a video processor not currently
engaged in another processing task) may receive task assignments
particularly suited to their capabilities. The allocations and
associated work packet creations also may be adjusted based on the
learning table. For example, if a particular respondent has
performed better in the past when handling a somewhat smaller data
allocation, the device 1 may limit the data allocation for that
element accordingly.
In the process flow of FIG. 2, in step S8, the device 1 sends the
work packets to the selected respondents through the network
communication media of the building control and automation system
10. Although not shown for convenience, the system elements may be
configured to require an acknowledgement of each work packet. In
such an arrangement, a neighbor would send an acknowledgement
message back through the network to the distributing device 1. If
no acknowledgement is received from a particular neighbor, after
some number of one or more retries, the distributing device 1 could
select a lower priority neighbor from the list used in step S8 and
try sending the undelivered work packet to the alternate neighbor
in a similar fashion. Each work packet sent/delivered to a neighbor
will include a portion of the data to be processed for the
particular task as well as instructions as to how the data in the
work packet is to be processed, essentially to enable each
respondent to perform an allocated portion or sub-task of the
distributed processing job. Each work packet may include an
identifier of the overall processing job and/or an identifier of
the particular assigned sub-task.
At this point in the discussion, we will assume that each
intelligent system element that receives a work packet for an
allocated portion of the distributed processing job will
successfully complete and return results for the portion of the job
allocated thereto. Several scenarios in which work packets are
dropped without sub-task completion will be discussed later.
Hence, at this point in our exemplary process flow, each of the
neighbor elements that the device 1 selected for a sub-task
receives one or more work packets containing data and instructions
for that sub-task as part of the communications in step S8. The
element receiving the work packet performs its allocated portion of
the processing job on the received data, in accordance with the
instructions, using resources of the processor and/or memory of the
receiving element of the building control and automation system
(step S9). At step S10, each selected respondent neighbor element
sends a result of its sub-task processing back through the data
communication network of the system 10 to the device 1. In our
example, each of the work result packets sent back to the
distributing device 1 includes an address or other identifier of
the responding neighbor element that performed the sub-task as well
as an identifier of the overall task/job and/or an identifier of
the respective sub-task.
Upon sending sub-task results in step S10, each respondent neighbor
element will release the resources utilized in processing the
sub-task, at step S5. The resources become available again for
other uses by the neighbor or for other distributed processing
operations. After releasing the resources, the neighbor element
again will update its learning table about distributed processing
(at S6), in this case, the sub-task processing that the element
performed for the device 1. In the completed sub-task scenario, for
example, the neighbor will update its learned performance metric
information based on analysis of the task of device 1 to reflect
the size of the assigned sub-task, the amount of resources and/or
time utilized, what if any other tasks of the respondent neighbor
element were delayed during this distributed processing operation,
or the like. The neighbor can use such learned performance metric
information in future to adjust its responses to future queries
from device 1.
Returning to the result transmission step S10, as a result of the
transmissions from the neighbors selected back in step S10, the
device 1 will receive processing results or the sub-tasks from
other intelligent system elements. In step S11 in our example, the
device 1 compiles the received results and checks the composite
result to determine if any work packets were dropped or if there
are any readily apparent errors. Sub-task identifiers and/or a
combination of the overall task identifier and the neighbor
address/identifier may assist the device 1 in combining sub-task
results from the various participating neighbor elements into the
appropriate overall composite result. At this point in our
discussion, we will assume that no packets were dropped and no
errors are detected. Hence, the compiling of the results of the
allocated sub-task processing from the other system elements
assisting in the current distributed processing operation
essentially determines an overall result of the processing job.
Processing by the device 1 proceeds to step S12, in which the
device 1 reports the overall result. The report function here is
given by way of just one example of an action that the device 1 may
perform based on the overall result of the processing job. The
report may be sent to a higher level processing element or service,
e.g. a higher level control service 57 or to an outside system
management device 53 or 57. As other examples, reporting the result
may involve taking some action in the device 1, accessing data via
the network, sending a face or voice recognition result to an
outside device of another party, etc. Of course, the device or any
other system element may act in any of a variety of other ways
based on the overall result of the distributed processing
operation.
At this point, it may be helpful to consider a voice recognition
task/job, by way of an example. The device 1 has digitized audio
data to process for recognition. The work packets sent at S8
include portions of the digitized audio, e.g. sub-divided at
apparent speech pauses between words. The neighbor elements process
received digital audio data to recognize one or more words in the
audio data segments. The returned work result packets represent
words of recognized speech. Each returned result may include one or
more words, depending on amount of the audio data sent to the
respective neighbor element. The device 1 compiles the received
words into a string of words in an order corresponding to the
original audio stream (prior to division thereof for work
packets).
At S12, the device 1 may simply send the string of words to another
element in or communicating with the system for further processing
or the like. Alternatively, the device 1 may itself perform
additional processing, e.g. to analyze the word string to recognize
a command, in which case the device 1 can act in response to the
command or forward the command to another element in or
communicating with the system for further processing or the like.
For example, if the spoken command is a lighting command, the
device 1 acting as a controller can then instruct some number of
lighting devices to adjust light settings thereof, in the service
area where the audio for the spoken was received as an input, based
on the command. As another example, if the recognized command is
for obtaining access to other information, e.g. a request for a
current quotation of the price of a particular stock, the device 1
can format an appropriate query and send that query to a server for
a stock service. In response, the device 1 receives data answering
the inquiry, from the stock service server; and the device 1 sends
the resulting answer information through the system to an element
of the system with an audio or display output capability for local
presentation in the in the service area where the audio for the
spoken information request command was received as an input.
Returning to the exemplary processing flow of FIG. 2, upon
completion of the distributed processing job, e.g. upon reporting
the overall result in S12 in our example, the device 1 will also
update its learning table (step S13) to reflect the performance of
various other system elements with respect to the just completed
job. For example, the table may be updated to reflect devices that
did or did offer resources in response to the query. The learning
table may be updated to reflect successful completion by some of
the other/neighbor elements versus packets dropped or errors
created by processing of sub-tasks by still others of the neighbor
elements. As outlined earlier, the device 1 can utilize the
learning table updated in step S13 to improve its neighbor
selections (e.g. at steps S1-S2 and steps S7-S8) in future
distribution of jobs amongst its neighbors.
If sufficient resources are available and/or enough other elements
respond, some or all of the work packets sent out at step S8 may be
duplicated and sent to two or more of the selected respondent
neighbor elements, for redundant processing. When the device 1
compiles the results at S11, it may receive duplicate sub-task
processing results. If the device 1 detects errors, in many cases,
at least one of the duplicative sub-task processing results may be
successful and free of errors; and the device 1 can utilize the
error free results and discard the duplicate version that is
subject to errors. In some cases, an element that accepted a
sub-task may not respond, at least in a timely fashion. From the
perspective of device 1, the work packet sent to such an element
has been "dropped." However, if another element assigned the same
sub-task successfully completes its processing of that sub-task,
the device 1 can still compile the overall job result using
successfully completed sub-task result from that other respondent.
Hence, duplicative allocation of sub-tasks can improve likelihood
of successful completion of the distributed processing task.
However, in some cases, problems may still arise. In any of these
cases, the update of the learning table in step S13 will reflect
such outcomes with respect to the performance metric data stored in
the table relative to the respective neighbor elements.
Assume next that when the device 1 checks results in step S11, and
device 1 determines that some portion of the job has not been
successfully completed. In this situation, the device 1 determines
at step S14 that some rework of the job is necessary. If capable,
the device 1 may perform any necessary additional processing
itself. If not, however, then the device can again distribute some
or all of the sub-tasks to other system elements. In our
illustrated example, depending on the type and/or amount of further
data processing required to complete the distributed processing
task, processing flows from step S14 back to S1 or S7 and from
there through the other steps of the process, essentially as
discussed above, to obtain distributed processing results to
complete the overall data processing job.
There may be a variety of reasons why a sub-task is not
successfully completed, and either the work packet is dropped or
the results returned to the device 1 are subject to errors. For
example, some communication media may be subject to
communication-induced errors too extensive to address with routine
error correction technologies. In other cases, some part of the
data network of the system 10 may be down or congested. However, in
other cases, events at one or more of the selected respondent
neighbor elements may result in a dropped work packet, as reflected
in our exemplary process flow at steps S15 and S16.
Returning to step S9, the various neighbors that responded, were
selected and received work packets are processing data from the
packets in accordance with the associated data processing
instructions. The overall processing job, and thus the sub-tasks
thereof, will have an assigned priority. Other tasks handled by the
various intelligent system elements also have assigned priorities.
At step S15, one of the system elements that has been processing
data from the work packets at S9 now receives (or internally
generates) an interrupt in view of an apparent need to perform some
other task having a higher priority than the particular distributed
processing job. That element will suspend its processing of the
allocated sub-task and perform the processing for the higher
priority task. Depending on the resources and time taken for the
higher priority task, the element may be able to resume sub-task
processing after completing processing for the higher priority task
and still deliver its sub-task results within the timeframe set for
the particular distributed processing job. If not, however, then
the system element will drop the processing of the work packet of
the particular distributed processing job (step S16), to process
the higher priority task. In this later situation, the element will
release the promised resources at step S5. After releasing the
resources, the neighbor element will update its learning table
about distributed processing offered by other elements, as shown at
S6. In the interrupt scenario (that passed through S15), for
example, the neighbor will update its learned performance metric
information about device 1 to reflect that the respondent neighbor
element was unable to complete the sub-task before dropping the
packet to handle the interrupt for a higher priority task. Although
not discussed in detail, the device 1 may also process some portion
data or otherwise perform some sub-task of the distributed job
before compiling the results. Alternatively, the device 1 itself
may be involved as a respondent neighbor in another distributed
processing operation while it waits for responses from the
respondent neighbors in the job the device 1 distributed.
Although the discussion of FIG. 2 mainly focused on distributed
processing amongst lighting devices, associated user interface
devices and sensor devices, as noted earlier, the resource sharing
implemented by a process flow like the example of FIG. 2 may take
advantage of and share resources of any type(s) of intelligent
elements that are part of or communicating via the building control
and automation system 10. For example, the building control and
automation system 10 may be able to use the memory and/or one or
more processors of a cooperative laptop, desktop computer,
host/server computer or the like that is coupled to communicate via
the data communication media of the building control and automation
system 10. The system also may support communications and/or
interactions with a wide range of other devices within the premises
12 having some level of intelligence and having appropriate data
communication capabilities, e.g. HVAC components, smart appliances,
etc. If any of such other devices have resources to share and are
appropriately programmed, the building control and automation
system 10 may be able to use the memories and/or processors of such
other cooperative devices. Conversely, some computers coupled to
the communication media and/or some other types of cooperative
devices may be able (and permitted if appropriate) to request and
obtain access to resources of the lighting devices, associated user
interface devices and sensor devices available for sharing for
distributed processing in a manner like that shown by way of
example in FIG. 2.
The discussion of FIG. 2 related in general to resource sharing
type distributed processing in a system like system 10. Such a
process may support various lighting related functions of the
system as well non-lighting functions of various other intelligent
elements of the system 10. Hence, it may be helpful to consider a
procedure with respect to a BCAS system control function, for a
non-lighting type condition in the premises 12.
FIG. 3A is a flow chart of another example of a procedure for
distributed processing involving BCAS-specific functionality in a
building control and automation system like that of FIG. 1A or FIG.
1B. FIG. 3B shows a simple residential building layout example with
an overlay of block illustrations for some of the system elements,
as referred to in the discussion of the flow chart of FIG. 3A. As
shown in FIG. 3B, each room or corridor has lighting devices in the
form of light fixtures (LF) and a temperature sensor TS. The system
includes a central HVAC system. For individual control in the rooms
and corridor, each of the rooms and corridor has a controllable
air-flow damper (AD) shown by way of example as vents. Duct work
between the dampers AD and the central HVAC is omitted for
convenience. The controllable dampers AD may be in the duct instead
of implemented as elements of the room/corridor air vents. The
system elements in the rooms and the corridor have are linked into
local logical network(s) which in turn are elements of the overall
system/lighting network at the premises.
FIG. 3A shows an example of the processing procedure that may be
implemented in a system 10 of the earlier drawings, in this case to
implement HVAC related control. In this example, a temperature
sensor TS1, which may be a standalone device in some room in the
building control and automation system 10 or implemented as part of
another intelligent system element, detects the temperature in step
S31. TS1 acts as a client with respect to some element acting as a
BCAS server or CO for BCAS-related elements, such as device 81C
acting as an instance 57 of a BCAS server. In step S32, TS1 queries
BCAS server 57 for the temperature setting. The temperature setting
contains a range of allowable temperatures ("tolerance"); and in
step S33, the BCAS server checks whether the room temperature
detected in step S1' is within the given tolerance.
If the room temperature is found to be within the tolerance
provided by the BCAS server, then the system takes no further
action. In that situation, processing loops back from the
decision/branch step S33 to perform step S31 again (e.g. after some
period of waiting/delay).
However, assuming that the temperature is outside the tolerance (no
branch at S33), then processing proceeds from step S33 to step S34,
where the BCAS server queries the HVAC system elements for their
status. This status may include ON/OFF settings to the air
conditioning (cooling) or heat generating system, open/close status
of air flow controllable dampers (AD), etc. Further processing at
S35 branches based on whether or not a setting or state of one or
more of the elements related to HVAC operation for the affected
area should be changed.
If the HVAC is ON and operating in the correct mode, for example,
then processing branches from S35 to step S36, where the server
queries other temperature sensors in the room and/or nearby rooms
or the corridor to see if they are also within tolerance. If the
other sensors are generally within tolerance, then processing
branches at S37 and proceeds to step S38, to send an "open" command
to nearby air flow damper AD1, to effect a local change in
temperature. In this example, processing ends at step S47.
Returning to the decision in step S37, if other temperature sensors
are similarly outside of tolerance, then processing instead
proceeds to step S39. At S39, the BCAS server sends a command to
the HVAC system over the data communication network to turn up/down
the temperature as required and sends an "open" command to AD1 in
step S38, and processing ends at step S47.
Although not shown for convenience, the processing regarding TS1
and related controls returns to step S31 after S47. The example of
the system 10 will also implement steps similar to S31 to S39 with
respect to each of the other temperature sensors (TS).
Returning now to step S35, in which there is a decision as to
whether or not to change one or more settings in HVAC status, we
will assume that the determination is that an HVAC setting change
is appropriate. For example, if TS1 detects an out of range
temperature, then if during step S34, the HVAC is instead OFF or
otherwise not on the correct mode, processing goes to step S40. At
step S40, the server sends an "ON" or "mode change" command to the
HVAC system to correct the temperature (e.g. turn on heat or cool
air generation).
The BCAS server then continues to step S41 to send an "open"
command to the appropriate air-flow damper AD1 for the area served
by TS1, to better effect the temperature change. Although not
separately shown, the server and sensor TS1 will communicate, e.g.
periodically, until the detected temperature is back within the
appropriate range.
After the temperature corrects to within the tolerance given back
in step S33, processing advances to step S42, in which the server
queries the other temperature sensors (TSs) in the vicinity to
determine at S43 if the temperatures that the other sensors detect
are also within tolerance. If the temperatures are not within
tolerance (No branch from S43), then the HVAC system is left to
continue to run and AD1 is left open (step S44). If the
temperatures that the other sensors detect are within tolerance
(Yes branch from S43), then the server issues a command in step S45
to close the room's air flow dampers AD1-ADN and an "OFF" or "mode
change" command in step S46 to the HVAC system, and the current
processing operations end at step S47. Although not shown for
convenience, the processing regarding TS1 and related controls
returns to step S31 after S47.
As outlined in the discussions above, in a system like that shown
in FIG. 1A, some functions may be implemented in the form of
servers, for example, for central BCAS functions, for CO functions
in support of system commissioning and/or for central connectivity
to outside networks and equipment. Some or all of the intelligent
system elements may have sufficient capabilities to be able to run
such server programming in addition to performing other processing
tasks for the normal functions of such elements. For example, a
lighting device 11A' or 11B' may be configured to operate as a
server 57 for BCAS, CO and/or other controller purposes, in
addition to operating as a lighting device. To the extent that a
server task for such a centralized service is amenable to resource
sharing type distributed processing, the element also configured as
a server may distribute the server processing task to other
elements, in essentially the manner described above relative to
FIG. 2.
However, the system may implement an additional form of distributed
processing with respect to such server functionality. A single
instance of a server running on one system element may at times be
stressed by high processing demands. Also, a system that utilizes a
single server instance for a crucial system function or service may
be vulnerable to interruptions, e.g. if there is a failure of the
element or of communication with the element running the server
instance. To address such possible concerns, a system 10 can run
some number of separate instances of a particular server
functionality, in parallel with one another on multiple intelligent
system elements. Each such server instance would utilize a copy of
the relevant server programming and a copy of any data or database
needed for the particular system service. Use of multiple instances
of the servers may also speed up response time when interacting
with clients implemented on the other system elements.
To the extent that data used by the server functionality may change
over time of operation of the system 10, the server instances would
coordinate with each other to update the copy of the data/database
at or used by each instance of the server, e.g. to maintain
synchronism as between multiple instances of the relevant data.
FIG. 4 is a simplified illustration of such an arrangement.
Alternatively, the data used by the server functionality may be
stored in a distributed manner across multiple elements (e.g. as
distributed hash tables) to minimize the synchronization
operations.
In the example, two of the lighting devices 11A' and 11B' run
instances 57A and 57B of server programming for execution by
processors 21A and 21B thereof. The server instances 57A, 57B
configure those lighting devices 11A', 11B' to operate in a
distributed processing fashion to implement a server function with
respect to an overall processing functionality of the system and
related server communications via the data communication network,
generally represented again by the cloud 51. For example, the
instances 57A and 57B may include server programming for a BCAS
function for overall control of the system 10 at the premises
12.
The server program instances 57A, 57B are represented generally by
icons similar to hardware devices such as server computers; but the
program instances 57A, 57B are actually server programming stored
in memories 23A, 23B for execution by the processors 21A, 21B
(hence, the servers 57A, 57B are shown in dotted line form). As
outlined earlier, the overall processing function of the system
implemented by such server instances may relate to a CO
functionality, some type of controller service, or a central
communication function/service. Also, although only two instances
of the server program are shown, there may be any appropriate
number of such instances for implementation of a particular
function or service in a system of a particular size and/or
complexity. The lighting devices 11A' and 11B' are shown in this
drawing as examples of intelligent system elements that may store
and execute server programming instances. It should be noted,
however, that any of the intelligent sensors, intelligent utility
building control and automation system elements, user intelligent
interface devices or other intelligent elements of the system 10
(FIG. 1A) communicating through the on-premises data network of the
system 10 may store and execute a server programming instance
instead of or in addition to one or both of the intelligent
lighting devices 11A' and 11B'. One set of server instances may
implement the server-side aspects and communications with respect
to one or any number of overall system functionalities. However,
other overall processing functionalities of the system 10 may
utilize server program instances stored in and executed on other
system elements. At least with respect to the particular overall
processing function of the system 10 supported by the server
program instances 57A, 57B, the server program instances 57A, 57B
interact with some number of other intelligent system elements
represented generically by the boxes at 61. The other elements can
be any of the types of intelligent system elements discussed above
and will include at least a processor 63, a memory 65 and a
communication interface, which may be similar to components of the
intelligent system elements discussed with regard to the earlier
drawings.
As shown in FIG. 4, various other intelligent system elements 61
will include client programming stored in memories 67 thereof for
execution by the processors 63 of the other intelligent system
elements 61, to configure each of the other intelligent system
elements 61 to implement a client function with respect to the
overall processing functionality of the system supported by the
server instances 51A, 57B. The client programming 69 will also
support related client communications with the server function
implemented by the instances of the server programming 57A, 57B on
the lighting devices 11A', 11B' in our example. Hence, the drawing
shows arrows through the network for client-server communications
between the server instances 57A, 57B and the clients 69 at the
intelligent system elements 61.
In a multi-instance server implementation such as shown in FIG. 4,
any one server may be able to perform on its own to handle
client-server interactions with one or more elements 61
independently of the other server instance(s), while each the other
server instance(s) independently handles other client-server
interactions. To the extent that they relate to the same overall
system function, however, they will often use or process some of
the same data. For example, if a particular overall processing
functionality of the system involves a database, all of the
relevant server instances will manipulate that same database. In
our two instance server example, to insure that both instances of
the server programming 57A, 57B have access to the same state of
the database if or when necessary, the server instances 57A, 57B
will communicate with each other through the data communication
network 51 to synchronize any separate copies of the database
maintained by or for the individual server instances 51A, 57B, as
represented by the Sync arrow between the server instances 57A,
57B. Any appropriate data synchronizing technique may be used.
The use of multiple server instances allows for server load
distribution across multiple hardware platforms of intelligent
elements of the system. The use of multiple server instances may
also provide redundancy in the event of impairment or failure of a
system element or communications to an element executing one of the
server instances. Various load distribution and/or fail-over
techniques may be used.
FIG. 5 is a logical diagram of a program stack, for programming
which may be used in intelligent system elements for an
implementation of a building control and automation system such as
that discussed so far.
At its most basic level, a processor may be considered or modeled
as a state machine, as shown at the lowest layer of the stack in
FIG. 5. In its simplest form, a state machine will switch between
states in response to different sets of signals or values on its
inputs. Core processing functions may be just above but near to the
state machine level. The core function layer, for example, may
implement the driver and/or interface functions for converting
between the inputs and outputs of the state machine and the signals
produced by or used to drive any input and/or output components of
the intelligent system element. The core functions also provide a
program interface between the state machine and the higher level
programming.
Logically speaking, several layers of software programming run on
top of the state machine and core processor functions, in our
example. The next highest layer may be a real-time operating system
(RTOS) configured to service real-time application requests or
interrupts, or the next layer may be a more computer-like operating
system (OS). The top two layers in the exemplary stack represent
applications running on top of and thus through the operating
system layer. Part or a sub-layer at the applications level of the
exemplary stack is for applications for advanced operations (Ops).
Resource sharing type distributed processing, such as discussed
above relative to FIG. 2, for example, may be implemented via an
advanced ops program application.
The top layer of the stack is a general application layer. Any of a
wide variety of applications may reside and run at this layer of
the logical program stack. The CO/controller services and the
responsive operations of the system elements may be implemented at
the application layer. Hence, the top layer in our example includes
some applications by or controlled by the system vendor, for
example, to support system services that the vendor designs the
system to provide. For example, the vendor application layer may
include the client 69 and/or a server instance 57A or 57B for a
particular CO, controller or communication service of the system
10.
For some purposes, the protocol stack and aspects of the
programming/configuration at various layers are defined and secured
by the system manufacturer. It is envisioned that the system 10
will be open to third party application and/or device developers.
In an open system, third parties will be able to build devices that
utilize the system and its protocols for operation including
interactions with elements provided by the system manufacturer. In
such a system, the system manufacturer may opt to allow third
parties some access to program or otherwise interact at various
layers of the stack, for example, to allow third parties to
manufacturer and sell other elements or devices for use on the
system and/or to allow third parties to write applications for the
system. Hence, the highest layer in our example also may include
applications (Apps) by other providers, for example, third party
software developers. Manufacturers of other elements intended for
operation on or through the system are allowed to write application
layer programming for their own CO/controller services and for
system elements like the luminaires by the system vendor to allow
the system vendor's elements to interact with elements on the
system developed by other vendors. The other applications also may
include client and/or server programming but for other services or
functions deployed on the system using software developed by other
entities.
In the discussion of programming, it was assumed that the resource
sharing type distributed processing (e.g. of FIG. 2) was
implemented at the advanced ops application layer of the stack. The
CO/controller services and the responsive operations of the system
elements are implemented at the application layer. Actual
implementations, however, may involve CO/controller service
implementation or include functionalities at other layers of the
stack with corresponding functionalities at the same layer of the
stack in the other system elements. In such a case, the system
manufacturer would still have portions of the programming and
configuration routine at those layer(s) limited to that
manufacturer's programs, devices and personnel. However, so long as
not interfering with the manufacturer's functionalities and
configuration data at the particular layer(s), third parties may be
allowed to program and establish configuration at the same protocol
layer(s) for their own purposes.
The open approach, for example, may also enable a customer that
will own or occupy a particular premises having a system 10 to
purchase and install third party devices and/or to purchase
additional programming for desired functions different from (or
possibly competing with) those offered by the system manufacturer.
The degree of third party access to the layers of the program stack
may vary amongst third party vendors. A trusted or `certified
partner` may have access to more layers, whereas non-certified
third parties may only be allowed to connect to the media and write
application layer programming that otherwise conforms to the
application layer programming interfaces to the lower layers of the
stack.
Users of different types may also be granted access to different
amounts of the program stack. For example, a government entity with
a high degree of sophistication and a need for security may have
greater access to control its system, whereas a small business
enterprise may only be allowed access to adjust the
commissioning/configuration at the application level.
As shown by the above discussion, at least some functions of
devices associated or in communication with the networked building
control and automation system 10 of FIG. 1A, such as elements 53
and 55, may be implemented with general purpose computers or other
general purpose user terminal devices, although special purpose
devices may be used. FIGS. 6-8 provide functional block diagram
illustrations of exemplary general purpose hardware platforms. Many
of the functions of the intelligent system elements are implemented
by programming for execution by the processors of such elements, to
achieve functions and methods of operation as discussed above. Such
programming typically resides in memory of the elements at time of
execution. However, for installation of the programming or upgrades
thereof, the element programming may be downloaded from computers
or the like, via transportable media or more likely via network
communication. When programming is downloaded via network
communication, it typically stored in and sent over the network
from a computer. Although such a download system could use a
purpose built architecture, such a download system typically will
also utilize a general purpose computer.
FIG. 6 illustrates a network or host computer platform, as may
typically be used to implement a host or server, such as the
computer 53. FIG. 7 depicts a computer with user interface
elements, as may be used to implement a personal computer or other
type of work station or terminal device, such as one of the
terminal 55 in FIG. 1A, although the computer of FIG. 7 may also
act as a server if appropriately programmed. The block diagram of a
hardware platform of FIG. 8 represents an example of a mobile
device, such as a tablet computer, smartphone or the like with a
network interface to a wireless link, which may alternatively serve
as a user terminal device like 55. It is believed that those
skilled in the art are familiar with the structure, programming and
general operation of such computer equipment and as a result the
drawings should be self-explanatory.
A server (see e.g. FIG. 6), for example, includes a data
communication interface for packet data communication via the
particular type of available network. The server also includes a
central processing unit (CPU), in the form of one or more
processors, for executing program instructions. The server platform
typically includes an internal communication bus, program storage
and data storage for various data files to be processed and/or
communicated by the server, although the server often receives
programming and data via network communications. The hardware
elements, operating systems and programming languages of such
servers are conventional in nature, and it is presumed that those
skilled in the art are adequately familiar therewith. Of course,
the server functions may be implemented in a distributed fashion on
a number of similar platforms, to distribute the processing
load.
Also, a computer configured as a server with respect to one layer
or function may be configured as a client of a server in a
different layer and/or for a different function. In a similar
fashion, a central function or service 57 implemented as a server
functionality with respect to client programming/functionality of
intelligent system elements at premises 12 may itself appear as a
client with respect to a server in a different layer and/or for a
different function. For example, the service 57 may appear as a
client of a server functionality provided by an external host or
other computer 53, although the central function or service 57 may
also appear as a server to on-premises or external user terminal
devices such as 55.
A computer type user terminal device, such as a desktop or laptop
type personal computer (PC), similarly includes a data
communication interface CPU, main memory (such as a random access
memory (RAM)) and one or more disc drives or other mass storage
devices for storing user data and the various executable programs
(see FIG. 7). A mobile device (see FIG. 8) type user terminal may
include similar elements, but will typically use smaller components
that also require less power, to facilitate implementation in a
portable form factor.
The example of FIG. 8 includes a wireless wide area network (WWAN)
transceiver (XCVR) such as a 3G or 4G cellular network transceiver
as well as a short range wireless transceiver such as a Bluetooth
and/or WiFi transceiver for wireless local area network (WLAN)
communication. The computer hardware platform of FIG. 7 and the
terminal computer platform of FIG. 7 are shown by way of example as
using a RAM type main memory and a hard disk drive for mass storage
of data and programming, whereas the mobile device of FIG. 8
includes a flash memory and may include other miniature memory
devices. It may be noted, however, that more modern computer
architectures, particularly for portable usage, are equipped with
semiconductor memory only.
The various types of user terminal devices will also include
various user input and output elements. A computer, for example,
may include a keyboard and a cursor control/selection device such
as a mouse, trackball, joystick or touchpad; and a display for
visual outputs (see FIG. 7). The mobile device example in FIG. 8
touchscreen type display, where the display is controlled by a
display driver, and user touching of the screen is detected by a
touch sense controller (Ctrlr). The hardware elements, operating
systems and programming languages of such computer and/or mobile
user terminal devices also are conventional in nature, and it is
presumed that those skilled in the art are adequately familiar
therewith.
Although FIGS. 6-8 in their present form show computers and user
terminal devices, generally similar configurations also may be used
within other elements of the building control and automation system
10. For example, one implementation of the brain, communication and
interface elements of a lighting device or of a standalone sensor,
a user interface device or other type of intelligent utility
building control and automation element may utilize an architecture
similar to that of one of the computers or mobile terminals. As a
more specific example, the personal computer type hardware in FIG.
7 (except for the keyboard, mouse and display) could serve as the
brain and communication elements of a lighting device, where the
input/output interface I/O would interface to an appropriate light
driver and to any sensor(s) or other enhancement input or output
device(s) included within the lighting device. The brain and
communication components of any of the intelligent utility building
control and automation elements could be similarly built over or
around elements of the personal computer type hardware. As another
example of use of an architecture similar to those of FIGS. 6-8
that may be utilized in a system like that of FIG. 1A, a building
controller or other user interface device (UI) might utilize an
arrangement similar to the mobile device of FIG. 8, albeit possibly
with only one transceiver compatible with the networking technology
of the particular premises (e.g. to reduce costs).
For information about other examples of intelligent lighting
devices, which may be suitable for use in a networked building
control and automation system like that of FIG. 1A, attention may
be directed to U.S. application Ser. No. 13/463,594 Filed May 3,
2012 entitled "LIGHTING DEVICES WITH INTEGRAL SENSORS FOR DETECTING
ONE OR MORE EXTERNAL CONDITIONS AND NETWORKED SYSTEM USING SUCH
DEVICES," the disclosure of which is entirely incorporated herein
by reference.
As also outlined above, aspects of the building control by one or
more lighting devices and/or of the distributed processing
techniques (e.g. of FIG. 2, FIG. 3A and/or FIG. 4), may be embodied
in programming of the appropriate intelligent system elements.
Program aspects of the technology discussed above therefore may be
thought of as "products" or "articles of manufacture" typically in
the form of executable code and/or associated data (software or
firmware) that is carried on or embodied in a type of machine
readable medium. "Storage" type media include any or all of the
tangible memory of the computers, processors or the like, or
associated modules thereof, such as various semiconductor memories,
tape drives, disk drives and the like, which may provide
non-transitory storage at any time for the software or firmware
programming. All or portions of the programming may at times be
communicated through the Internet or various other
telecommunication networks. Such communications, for example, may
enable loading of the software from one computer or processor into
another, for example, from a management server or host computer 53
of the building control and automation system service provider into
any of the lighting devices, utility building control and
automation system elements, sensors, user interface devices, etc.
of or coupled to the system 10 at the premises 12, including both
programming for individual element functions and programming for
distributed processing functions. Thus, another type of media that
may bear the software/firmware program elements includes optical,
electrical and electromagnetic waves, such as used across physical
interfaces between local devices, through wired and optical
landline networks and over various air-links. The physical elements
that carry such waves, such as wired or wireless links, optical
links or the like, also may be considered as media bearing the
software. As used herein, unless restricted to non-transitory,
tangible "storage" media, terms such as computer or machine
"readable medium" refer to any medium that participates in
providing instructions to a processor for execution.
It will be understood that the terms and expressions used herein
have the ordinary meaning as is accorded to such terms and
expressions with respect to their corresponding respective areas of
inquiry and study except where specific meanings have otherwise
been set forth herein. Relational terms such as first and second
and the like may be used solely to distinguish one entity or action
from another without necessarily requiring or implying any actual
such relationship or order between such entities or actions. The
terms "comprises," comprising," "includes," "including," or any
other variation thereof, are intended to cover a non-exclusive
inclusion, such that a process, method, article, or apparatus that
comprises a list of elements does not include only those elements
but may include other elements not expressly listed or inherent to
such process, method, article, or apparatus. An element proceeded
by "a" or "an" does not, without further constraints, preclude the
existence of additional identical elements in the process, method,
article, or apparatus that comprises the element.
Unless otherwise stated, any and all measurements, values, ratings,
positions, magnitudes, sizes, and other specifications that are set
forth in this specification, including in the claims that follow,
are approximate, not exact. They are intended to have a reasonable
range that is consistent with the functions to which they relate
and with what is customary in the art to which they pertain.
While the foregoing has described what are considered to be the
best mode and/or other examples, it is understood that various
modifications may be made therein and that the subject matter
disclosed herein may be implemented in various forms and examples,
and that the teachings may be applied in numerous applications,
only some of which have been described herein. It is intended by
the following claims to claim any and all applications,
modifications and variations that fall within the true scope of the
present teachings.
* * * * *
References